|
algorithms |
12 |
|
gene expression |
11 |
|
data mining |
10 |
|
mathematics |
10 |
|
optimization |
10 |
|
regularization |
10 |
|
classification |
8 |
|
gene expression profiling - methods |
8 |
|
models, genetic |
8 |
|
sparsity |
8 |
|
toeplitz matrices |
8 |
|
alternating minimization |
7 |
|
artificial intelligence |
7 |
|
computers |
7 |
|
deblurring |
7 |
|
deconvolution |
7 |
|
markov chain |
7 |
|
models, statistical |
7 |
|
oligonucleotide array sequence analysis - methods |
7 |
|
animals |
6 |
|
brca1 |
6 |
|
brca1 protein - genetics |
6 |
|
brca2 |
6 |
|
brca2 protein - genetics |
6 |
|
breast cancer susceptibility gene |
6 |
|
breast neoplasms - genetics - pathology |
6 |
|
circulant matrix |
6 |
|
clustering |
6 |
|
convergence |
6 |
|
convergence analysis |
6 |
|
gene mutation |
6 |
|
genetic predisposition to disease - genetics |
6 |
|
hidden markov model |
6 |
|
hyperspectral imaging |
6 |
|
image restoration |
6 |
|
linear programming |
6 |
|
open reading frames - genetics |
6 |
|
preconditioned conjugate gradient method |
6 |
|
preconditioners |
6 |
|
stability |
6 |
|
toeplitz matrix |
6 |
|
total variation |
6 |
|
bioinformatics |
5 |
|
boolean networks |
5 |
|
chromosome mapping - methods |
5 |
|
cluster analysis |
5 |
|
deep learning (dl) |
5 |
|
doppler broadening |
5 |
|
dynamic programming |
5 |
|
fast fourier transform |
5 |
|
fourier transform |
5 |
|
fuzzy sets |
5 |
|
gaussian noise |
5 |
|
gene expression regulation |
5 |
|
high-dimensional data |
5 |
|
humans |
5 |
|
image reconstruction |
5 |
|
linear systems |
5 |
|
machine learning |
5 |
|
markov chains |
5 |
|
models, biological |
5 |
|
multivariate data |
5 |
|
noise reduction |
5 |
|
nonconvex optimization |
5 |
|
patterned fabric inspection |
5 |
|
polymorphism, single nucleotide - genetics |
5 |
|
preconditioning |
5 |
|
probabilistic boolean networks |
5 |
|
regime switching |
5 |
|
singular value decomposition |
5 |
|
software |
5 |
|
sparse representation |
5 |
|
steady-state probability distribution |
5 |
|
subspace clustering |
5 |
|
wavelet |
5 |
|
admm |
4 |
|
alternating direction method of multipliers |
4 |
|
alternating direction methods |
4 |
|
capital gain tax |
4 |
|
central limit theorem |
4 |
|
coincidence doppler broadening spectroscopy |
4 |
|
computational biology - methods |
4 |
|
convergence rate |
4 |
|
convex optimization |
4 |
|
convexity |
4 |
|
deep learning |
4 |
|
denoising |
4 |
|
discriminant analysis |
4 |
|
estimation |
4 |
|
fourier coefficients |
4 |
|
gene expression data analysis |
4 |
|
gene regulatory network |
4 |
|
gene regulatory networks |
4 |
|
hyperspectral image (hsi) |
4 |
|
inverse problem |
4 |
|
iterative methods |
4 |
|
least-squares analysis |
4 |
|
low rank |
4 |
|
low-rank |
4 |
|
maximum principle |
4 |
|
missing value imputation |
4 |
|
multivariate markov chains |
4 |
|
neural network |
4 |
|
newton's method |
4 |
|
nonnegativity |
4 |
|
optimal control |
4 |
|
optimal transport |
4 |
|
parameter estimation |
4 |
|
particle swarm optimization |
4 |
|
pattern recognition, automated |
4 |
|
power method |
4 |
|
regime-switching |
4 |
|
robustness |
4 |
|
saddle point problem |
4 |
|
schrödinger equation |
4 |
|
sherman-morrison-woodbury formula |
4 |
|
snps |
4 |
|
transition probability |
4 |
|
vector angle |
4 |
|
viscosity solution |
4 |
|
wavelets |
4 |
|
weighted local least square imputation |
4 |
|
wllsi |
4 |
|
90c25 |
3 |
|
additives |
3 |
|
alternating direction method |
3 |
|
antenna arrays |
3 |
|
birnaviridae infections - epidemiology - veterinary - virology |
3 |
|
block matrix |
3 |
|
categorical data |
3 |
|
categorical time series |
3 |
|
categorical variables |
3 |
|
ccs concepts |
3 |
|
characterization |
3 |
|
compressed sensing |
3 |
|
computational complexity |
3 |
|
computer simulation |
3 |
|
condition number |
3 |
|
conjugate gradient method |
3 |
|
constraints |
3 |
|
convex function |
3 |
|
convex programming |
3 |
|
convolutional neural network |
3 |
|
cosine transform |
3 |
|
cosine transform preconditioner |
3 |
|
credibility theory |
3 |
|
credit ratings |
3 |
|
credit risk |
3 |
|
data interpretation, statistical |
3 |
|
defect detection |
3 |
|
direct method |
3 |
|
dirichlet series |
3 |
|
discrete cosine transform |
3 |
|
disease outbreaks |
3 |
|
dna - chemistry |
3 |
|
dna mutational analysis - methods |
3 |
|
double-doppler |
3 |
|
drone/uav |
3 |
|
eigenvalues |
3 |
|
electronic data processing |
3 |
|
euler equations |
3 |
|
expressed sequence tags |
3 |
|
fault diagnosis |
3 |
|
feedback |
3 |
|
finite difference method |
3 |
|
flower detection |
3 |
|
flower fraction |
3 |
|
gabor filter |
3 |
|
game theory |
3 |
|
generalized least squares method |
3 |
|
genetic networks |
3 |
|
genome, viral |
3 |
|
gohberg-semencul formula |
3 |
|
gps trajectory data segmentation |
3 |
|
green chromatic coordinate |
3 |
|
high-resolution |
3 |
|
homogenization |
3 |
|
image decomposition |
3 |
|
image interpretation, computer-assisted |
3 |
|
image processing |
3 |
|
infectious bursal disease virus - classification - genetics - pathogenicity |
3 |
|
information storage and retrieval |
3 |
|
inpainting |
3 |
|
instruments |
3 |
|
inverse filter |
3 |
|
lagrange multiplier |
3 |
|
leaf quality |
3 |
|
leaf quantity |
3 |
|
least absolute deviation |
3 |
|
least-squares method |
3 |
|
linear discriminant analysis |
3 |
|
linkage disequilibrium |
3 |
|
local least squares imputation method |
3 |
|
logarithmic-quadratic proximal method |
3 |
|
low-rank approximation |
3 |
|
m-matrices |
3 |
|
mathematical models |
3 |
|
matrices |
3 |
|
matrix completion |
3 |
|
meromorphic modular forms |
3 |
|
microarray data |
3 |
|
missing values |
3 |
|
model reduction |
3 |
|
modular forms |
3 |
|
monte carlo simulation |
3 |
|
motif |
3 |
|
multiscale |
3 |
|
multiscale finite element method |
3 |
|
multivariate |
3 |
|
mumford-shah model |
3 |
|
mutual information |
3 |
|
noise measurement |
3 |
|
non-negativity constraints |
3 |
|
nonlinear equations |
3 |
|
nonlinear image restoration |
3 |
|
nonnegative tensor |
3 |
|
numerical integral simulation |
3 |
|
numerical range |
3 |
|
online learning |
3 |
|
operator splitting method |
3 |
|
opsm |
3 |
|
optimization problem |
3 |
|
order-preserving submatrix |
3 |
|
parallel computation |
3 |
|
pattern recognition, automated - methods |
3 |
|
pattern-based clustering |
3 |
|
patterned texture |
3 |
|
perforated domain |
3 |
|
phase retrieval |
3 |
|
phenocam |
3 |
|
phylogeny |
3 |
|
physics engineering |
3 |
|
polymorphism, single nucleotide |
3 |
|
prediction of demand |
3 |
|
pricing |
3 |
|
primal-dual algorithm |
3 |
|
probabilistic logic |
3 |
|
proximal alternating minimization |
3 |
|
proximal point algorithm |
3 |
|
proximate remote sensing |
3 |
|
quadratic programming |
3 |
|
quantization |
3 |
|
random matrices |
3 |
|
re-manufacturing systems |
3 |
|
reassortant viruses - classification - genetics - pathogenicity |
3 |
|
residual networks |
3 |
|
resnet50 |
3 |
|
restoration |
3 |
|
richardson-lucy |
3 |
|
row average method |
3 |
|
semantic segmentation |
3 |
|
sensitivity and specificity |
3 |
|
signal transduction - physiology |
3 |
|
single nucleotide polymorphism |
3 |
|
stationary distribution |
3 |
|
stationary probability distribution |
3 |
|
stochastic optimization |
3 |
|
stochastic processes |
3 |
|
super-resolution |
3 |
|
supervised learning |
3 |
|
supply chain management |
3 |
|
systems biology - methods |
3 |
|
tensor |
3 |
|
tensor completion |
3 |
|
tensor decomposition |
3 |
|
tensor factorization |
3 |
|
texture |
3 |
|
texture analysis |
3 |
|
time series |
3 |
|
tropical forests |
3 |
|
tropical phenology |
3 |
|
uncertainty quantification (uq) |
3 |
|
unidimensional scaling |
3 |
|
uniform noise |
3 |
|
unsupervised learning |
3 |
|
variational inequalities |
3 |
|
wasserstein distance |
3 |
|
wavelet transform |
3 |
|
weighted local least squares imputation method |
3 |
|
• computing methodologies → shape analysis |
3 |
|
11e45 |
2 |
|
15a18 |
2 |
|
3-d patches |
2 |
|
53c35 |
2 |
|
65c35 |
2 |
|
68w20 |
2 |
|
90c08 |
2 |
|
absolute continuity |
2 |
|
actuarial valuation |
2 |
|
adaptive regularized least squares |
2 |
|
adaptive short time discrete fourier transform |
2 |
|
additional order |
2 |
|
advertising model |
2 |
|
advertising wear out phenomenon |
2 |
|
affine weyl group |
2 |
|
algebraic groups |
2 |
|
algorithm |
2 |
|
alternating directions method |
2 |
|
approximate inverse-free preconditioners |
2 |
|
approximation |
2 |
|
approximation theory |
2 |
|
asset allocation |
2 |
|
asymptotic behavior |
2 |
|
asymptotic expansion |
2 |
|
atkinson's formula |
2 |
|
attributes weights |
2 |
|
audio-magnetotelluric (amt) |
2 |
|
augmented lagrangian |
2 |
|
augmented lagrangian method |
2 |
|
automorphisms |
2 |
|
automorphisms of polynomial algebras |
2 |
|
background extraction |
2 |
|
banded matrices |
2 |
|
bayesian inversion |
2 |
|
bias-correction |
2 |
|
binomial expansion technique |
2 |
|
blind deconvolution |
2 |
|
block diagonal |
2 |
|
block-diagonal |
2 |
|
block-toeplitz matrix |
2 |
|
blockchain |
2 |
|
blood proteins - analysis |
2 |
|
blowup |
2 |
|
bond |
2 |
|
boolean control networks (bcns) |
2 |
|
boolean network |
2 |
|
boundary conditions |
2 |
|
bounded symmetric domain |
2 |
|
bregman distance |
2 |
|
brownian motion |
2 |
|
burgers equation |
2 |
|
cancer |
2 |
|
canonical correlation analysis |
2 |
|
carotid artery diseases - blood - diagnosis |
2 |
|
cartoon |
2 |
|
cartoon and texture |
2 |
|
categorical data sequences |
2 |
|
cattle |
2 |
|
cell physiological phenomena |
2 |
|
centerline extraction |
2 |
|
challenges |
2 |
|
channel capacity |
2 |
|
chebyshev polynomials |
2 |
|
chemotaxis |
2 |
|
chromosome mapping - statistics & numerical data |
2 |
|
circle method |
2 |
|
city logistics |
2 |
|
closed-loop supply chain |
2 |
|
clustering algorithms |
2 |
|
clustering methods |
2 |
|
co-coercive |
2 |
|
color space |
2 |
|
colored noise |
2 |
|
complexity |
2 |
|
complexity analysis |
2 |
|
compound-eye |
2 |
|
compression |
2 |
|
computational biology |
2 |
|
computer engineering |
2 |
|
computer systems and computers |
2 |
|
conditional heteroscedasticity |
2 |
|
congruences |
2 |
|
conjugacy classes. |
2 |
|
connectivity |
2 |
|
constrained least squares |
2 |
|
constrained total-variation |
2 |
|
container carriers |
2 |
|
container loading |
2 |
|
contaminated pastures |
2 |
|
continuation |
2 |
|
contraction |
2 |
|
control |
2 |
|
convex risk measures |
2 |
|
convex sets. |
2 |
|
convolution |
2 |
|
correlated credit migrations |
2 |
|
covariance matrix |
2 |
|
curvature |
2 |
|
customer lifetime value |
2 |
|
customers classification |
2 |
|
cycle |
2 |
|
cyclic difference sets |
2 |
|
data assimilation |
2 |
|
data models |
2 |
|
data visualization |
2 |
|
databases, genetic |
2 |
|
decision support system (dss) |
2 |
|
decision support systems |
2 |
|
decomposition |
2 |
|
deep neural networks |
2 |
|
deep particle method |
2 |
|
deep plug-and-play prior |
2 |
|
default data |
2 |
|
demand prediction |
2 |
|
derivative nonlinear schrödinger (chenleeliu) equation |
2 |
|
descent method |
2 |
|
deteriorating items |
2 |
|
dictionary learning |
2 |
|
differential equations |
2 |
|
diffusion |
2 |
|
diffusion kernel |
2 |
|
dimension |
2 |
|
dimension reduction |
2 |
|
dimensionality reduction |
2 |
|
discrete fourier transform |
2 |
|
discrete fracture model |
2 |
|
discrete wavelet transforms |
2 |
|
disease vectors |
2 |
|
divergence angle |
2 |
|
divide-and-conquer procedure |
2 |
|
document clustering |
2 |
|
domain adaptation |
2 |
|
double higher-order hidden markov model |
2 |
|
dual problem |
2 |
|
duality |
2 |
|
dynamic programming (dp) principle |
2 |
|
dynamical programming |
2 |
|
dynamically low-dimensional approximation |
2 |
|
eigenpair |
2 |
|
eigenvalue |
2 |
|
eigenvalues and eigenfunctions |
2 |
|
eigenvectors |
2 |
|
elliptic curves |
2 |
|
elliptic integrals of the third kind |
2 |
|
empirical risk minimization |
2 |
|
entropy |
2 |
|
epidemic model |
2 |
|
epithelial-mesenchymal transition |
2 |
|
epithelial-mesenchymal transition (emt) |
2 |
|
equidistribution |
2 |
|
equilibrium point |
2 |
|
ergodicity |
2 |
|
error analysis (mathematics) |
2 |
|
error bound |
2 |
|
error estimate |
2 |
|
error term |
2 |
|
esscher transform |
2 |
|
estimation theory |
2 |
|
evolution, molecular |
2 |
|
exponential stability |
2 |
|
extensions |
2 |
|
facility location |
2 |
|
fast cosine transform |
2 |
|
feature weighting |
2 |
|
feedback arc set |
2 |
|
feedback channel |
2 |
|
feedback effect |
2 |
|
feynman-kac formula |
2 |
|
finite blaschke products |
2 |
|
finite element |
2 |
|
finite element methods |
2 |
|
finite-horizon |
2 |
|
fixed point |
2 |
|
fluid flow |
2 |
|
forward stable |
2 |
|
function spaces. |
2 |
|
functions, zeta. |
2 |
|
gaussian channels |
2 |
|
gaussian processes |
2 |
|
gene expression regulation - physiology |
2 |
|
gene expression regulation, fungal |
2 |
|
gene expression sequences |
2 |
|
gene frequency |
2 |
|
generalized multiscale finite element method |
2 |
|
generalized multiscale finite element method (gmsfem) |
2 |
|
generalized numerical range |
2 |
|
generating function |
2 |
|
generating functions |
2 |
|
genes, regulator |
2 |
|
genetic markers |
2 |
|
genetic network |
2 |
|
genetic regulatory network |
2 |
|
genetic regulatory networks |
2 |
|
genome-wide association study |
2 |
|
genomics |
2 |
|
genomics - statistics & numerical data |
2 |
|
geometric approach |
2 |
|
geometric landscape |
2 |
|
global convergence |
2 |
|
gmres |
2 |
|
goal programming |
2 |
|
golden angle |
2 |
|
golden pattern |
2 |
|
graph |
2 |
|
graph convolutional network |
2 |
|
graph signal processing |
2 |
|
graph structure |
2 |
|
great britain - epidemiology |
2 |
|
half-integral weight modular forms |
2 |
|
hamilton-jacobi-bellman (hjb) equation |
2 |
|
hamilton–jacobi–bellman equation |
2 |
|
haplotypes |
2 |
|
haplotypes - genetics |
2 |
|
hapmap |
2 |
|
harmonic maass forms |
2 |
|
helmholtz equation |
2 |
|
hermite polynomials |
2 |
|
heterogeneity |
2 |
|
heterogeneous |
2 |
|
heuristics |
2 |
|
hidden markov model (hmm) |
2 |
|
hidden markov models |
2 |
|
high dimensional data |
2 |
|
high dimensional markov chains |
2 |
|
high resolution |
2 |
|
high-contrast |
2 |
|
high-contrast problem |
2 |
|
higher-order |
2 |
|
higher-order markov chain process |
2 |
|
higher-order markov chains |
2 |
|
higher-order markov decision process |
2 |
|
higher-order markov model |
2 |
|
hilbert transform |
2 |
|
hiv |
2 |
|
hofmeisters rule |
2 |
|
host-parasite interactions |
2 |
|
hurwitz class numbers |
2 |
|
hybrid regularization |
2 |
|
hybrid representations |
2 |
|
hypergraph |
2 |
|
hyperspectral denoising |
2 |
|
hyperspectral destriping |
2 |
|
hyperspectral image (hsi) denoising |
2 |
|
hyperspectral imagery |
2 |
|
hyperspectral images (hsis) denoising |
2 |
|
image denoising |
2 |
|
image enhancement |
2 |
|
image fusion |
2 |
|
image segmentation |
2 |
|
imbalanced classification |
2 |
|
immersed interface method |
2 |
|
incomplete cholesky factorization preconditioner |
2 |
|
inexact |
2 |
|
inexact computation |
2 |
|
information science and informaiton theory |
2 |
|
information theory |
2 |
|
inspection policy |
2 |
|
insurance layer |
2 |
|
integral equations |
2 |
|
integral equations - asymtotic theory. |
2 |
|
intensity models |
2 |
|
interactive hidden markov model (ihmm) |
2 |
|
interior point method |
2 |
|
interpolation |
2 |
|
intervention |
2 |
|
inventory level |
2 |
|
inverse preconditioners |
2 |
|
inversion |
2 |
|
inversion formulas |
2 |
|
irreducible tridiagonal matrix |
2 |
|
iterative algorithm |
2 |
|
iterative algorithms |
2 |
|
iterative decoding |
2 |
|
iterative method |
2 |
|
iterative methods (mathematics) |
2 |
|
jacobi |
2 |
|
jacobian |
2 |
|
joint distribution |
2 |
|
joint inversionresistivity |
2 |
|
joint minimization |
2 |
|
joint optimization |
2 |
|
joint unitary orbit |
2 |
|
k-means |
2 |
|
k-means algorithm |
2 |
|
k-means clustering |
2 |
|
k-means-type algorithm |
2 |
|
k-mode |
2 |
|
kernel |
2 |
|
kernel method |
2 |
|
l(alpha)-morm |
2 |
|
l-functions |
2 |
|
l1/2-regularization |
2 |
|
lanczos method |
2 |
|
laplace equations |
2 |
|
laplacian kernel |
2 |
|
lattice |
2 |
|
lattice tiling |
2 |
|
ld |
2 |
|
least mixed norm |
2 |
|
least squares |
2 |
|
least squares problem |
2 |
|
limit order book (lob) |
2 |
|
linear complementarity problem |
2 |
|
linear constraint |
2 |
|
linear control |
2 |
|
linear eigenvalue statistics |
2 |
|
linear preserver |
2 |
|
linear spectral statistics |
2 |
|
linear system |
2 |
|
linkage equilibrium |
2 |
|
local linear embedding (lle) kernel |
2 |
|
loci |
2 |
|
logarithmic-quadratic proximal |
2 |
|
logic |
2 |
|
logical control networks |
2 |
|
long range dependence |
2 |
|
low resolution |
2 |
|
low-rank tensor factorization |
2 |
|
lyapunov stability |
2 |
|
l∞-norm constraint |
2 |
|
machine failure |
2 |
|
magnetotelluric |
2 |
|
majorization |
2 |
|
manifolds |
2 |
|
manpower planning |
2 |
|
manufacturing systems |
2 |
|
market impact |
2 |
|
markov analysis |
2 |
|
markov model |
2 |
|
markov process |
2 |
|
mass spectrometry - methods |
2 |
|
matrix factorization |
2 |
|
matrix recovery |
2 |
|
matrix-vector multiplication |
2 |
|
max-min principle |
2 |
|
maximum mean discrepancy |
2 |
|
maximum value-at-risk constraints |
2 |
|
maxmin-principle |
2 |
|
mean value theorems (calculus) |
2 |
|
mean-square formula |
2 |
|
median filter |
2 |
|
medical informatics - methods |
2 |
|
memory channel |
2 |
|
metric learning |
2 |
|
microsporidia |
2 |
|
minimax relation |
2 |
|
minimization |
2 |
|
minimization problem |
2 |
|
minimum mean-square error |
2 |
|
mining methods and algorithms |
2 |
|
missing data reconstruction |
2 |
|
mixed sales |
2 |
|
moduli spaces |
2 |
|
monotone variational inequalities |
2 |
|
monte carlo method |
2 |
|
motion estimation |
2 |
|
moving contact lines |
2 |
|
multi-drop constraints |
2 |
|
multi-label learning |
2 |
|
multidimensional data |
2 |
|
multigrid method |
2 |
|
multilevel matrices |
2 |
|
multiple regression |
2 |
|
multiple sources |
2 |
|
multiplicative noise |
2 |
|
multiscale method |
2 |
|
multiscale model reduction |
2 |
|
multiscale potential |
2 |
|
multiscale reduced basis |
2 |
|
navier-stokes |
2 |
|
navier-stokes equations |
2 |
|
negative customer |
2 |
|
neoplasm proteins - metabolism |
2 |
|
networks |
2 |
|
neural networks |
2 |
|
neural networks (computer) |
2 |
|
nevanlinna theory |
2 |
|
newsboy's model |
2 |
|
noise |
2 |
|
non-linearity |
2 |
|
non-local |
2 |
|
nonconvex |
2 |
|
nonlinear complementarity problems |
2 |
|
nonlinear diffusion |
2 |
|
nonlinear programming |
2 |
|
nonlinear unmixing |
2 |
|
nonnegative matrix factorization |
2 |
|
nonsmooth and nonconvex optimization |
2 |
|
nonsmooth optimization |
2 |
|
normal matrix |
2 |
|
np-hard |
2 |
|
nuclear norm |
2 |
|
number theory. |
2 |
|
numerical analysis |
2 |
|
numerical variables |
2 |
|
omega-results |
2 |
|
online adaptive method |
2 |
|
operator splitting |
2 |
|
optical aberrations |
2 |
|
optimal hidden economic states |
2 |
|
optimal insurance |
2 |
|
optimal liquidation strategies |
2 |
|
optimal portfolio selection |
2 |
|
optimal reinsurance |
2 |
|
optimal step-size |
2 |
|
optimal stopping |
2 |
|
option valuation |
2 |
|
outlier detection |
2 |
|
ovals |
2 |
|
overage cost |
2 |
|
parallel computing |
2 |
|
parametric finite element method |
2 |
|
parareal |
2 |
|
parasites - physiology |
2 |
|
pbn |
2 |
|
peak detection |
2 |
|
permanent |
2 |
|
perron-frobenius theorem |
2 |
|
perturbation |
2 |
|
phase-mask |
2 |
|
phaseless measurements |
2 |
|
phyllotactic patterns |
2 |
|
phyllotaxis |
2 |
|
plug-and-play |
2 |
|
poincaré series |
2 |
|
poisson structures |
2 |
|
polar harmonic maass forms |
2 |
|
polarity |
2 |
|
polynomial algebras |
2 |
|
polynomials |
2 |
|
polyxenous parasites |
2 |
|
porous media |
2 |
|
portfolio |
2 |
|
positive characteristic |
2 |
|
positron annihilation radiation spectroscopy |
2 |
|
power-law |
2 |
|
preconditioned conjugate gradient |
2 |
|
preconditioned conjugate gradient methods |
2 |
|
preconditioner |
2 |
|
prediction |
2 |
|
prediction-correction method |
2 |
|
primordia interaction |
2 |
|
principal component analysis |
2 |
|
prion diseases - epidemiology - transmission - veterinary |
2 |
|
prison system |
2 |
|
probabilistic boolean network |
2 |
|
probabilistic boolean networks (pbns) |
2 |
|
probabilistic booleon networks |
2 |
|
probability |
2 |
|
probability estimation |
2 |
|
production |
2 |
|
production planning |
2 |
|
projected clustering |
2 |
|
projection |
2 |
|
projection method |
2 |
|
projective planes |
2 |
|
proper orthogonal decomposition |
2 |
|
proper orthogonal decomposition (pod) |
2 |
|
proper orthogonal decomposition (pod) method |
2 |
|
protein function prediction |
2 |
|
proteomics - methods |
2 |
|
proximal point method |
2 |
|
pulsation advertising policy |
2 |
|
quadratic forms |
2 |
|
quadratic programming (qp) |
2 |
|
quadrature rules |
2 |
|
quantitative trait loci - genetics |
2 |
|
quasimodular forms |
2 |
|
queueing problems |
2 |
|
queueing systems |
2 |
|
rademacher complexity |
2 |
|
ramanujan |
2 |
|
random block coordinate descent |
2 |
|
random forest |
2 |
|
random partial differential equations (rpdes) |
2 |
|
real option |
2 |
|
reconstruction |
2 |
|
recursion |
2 |
|
recursive methods |
2 |
|
regime-switching hjb equations |
2 |
|
regression |
2 |
|
regularity |
2 |
|
regularized least squares |
2 |
|
reinforcement learning |
2 |
|
relationship marketing |
2 |
|
remanufacturing |
2 |
|
remote sensing |
2 |
|
reproducing kernel hilbert space |
2 |
|
restricted isometry property |
2 |
|
retail product |
2 |
|
retinex |
2 |
|
retracts |
2 |
|
rigidity |
2 |
|
risk management |
2 |
|
ritt's theorems |
2 |
|
rna-binding proteins (rbps) |
2 |
|
robust optimization |
2 |
|
sample covariance matrices |
2 |
|
sample covariance matrix |
2 |
|
scheduling |
2 |
|
schubert varieties |
2 |
|
schur complement |
2 |
|
segmentation |
2 |
|
self-similarity |
2 |
|
self-supervised learning |
2 |
|
semi-smooth newton method |
2 |
|
semi-supervised learning |
2 |
|
sequence analysis, dna - methods |
2 |
|
setar model |
2 |
|
shifted poisson structure |
2 |
|
shimura lifts |
2 |
|
shortage cost |
2 |
|
sign changes |
2 |
|
sign changes of fourier coefficients |
2 |
|
signal and image processing |
2 |
|
signal transduction - genetics |
2 |
|
signed graph |
2 |
|
sine-gordon equation |
2 |
|
single nucleotide polymorphisms |
2 |
|
singular values |
2 |
|
skm-snp |
2 |
|
smile effect |
2 |
|
snp |
2 |
|
sobolev spaces |
2 |
|
space amalgamation |
2 |
|
space-fractional diffusion equations |
2 |
|
sparse |
2 |
|
sparse matrices |
2 |
|
sparse probabilistic boolean networks |
2 |
|
special orthogonal orbits |
2 |
|
spectral analysis |
2 |
|
spectral radius |
2 |
|
spectral smile correction |
2 |
|
spline |
2 |
|
spores |
2 |
|
spot interest rates |
2 |
|
stabilizability |
2 |
|
stable matching |
2 |
|
star model |
2 |
|
star-shapedness |
2 |
|
statistical control process |
2 |
|
statistical tests |
2 |
|
steady state probability distribution |
2 |
|
step size |
2 |
|
stieltjes transform |
2 |
|
stochastic approximation |
2 |
|
stochastic demand |
2 |
|
stochastic dynamic programming |
2 |
|
stochastic dynamical system |
2 |
|
stochastic gradient descent |
2 |
|
stochastic partial differential equations (spdes) |
2 |
|
stop-loss insurance |
2 |
|
stratified sampling |
2 |
|
student project allocation |
2 |
|
subtypes |
2 |
|
subtyping |
2 |
|
sums of polygonal numbers |
2 |
|
sums of squares |
2 |
|
superresolution image reconstruction |
2 |
|
support vector machine |
2 |
|
support vector machines |
2 |
|
svm |
2 |
|
systems biology |
2 |
|
systems theory |
2 |
|
tame automorphisms |
2 |
|
technology: comprehensive works |
2 |
|
tensor nuclear norm |
2 |
|
test polynomials |
2 |
|
the i-mmse relationship |
2 |
|
tight frame |
2 |
|
tikhonov regularization |
2 |
|
time dimension |
2 |
|
time factors |
2 |
|
time-dependent demand and deterioration rate |
2 |
|
toeplitz matrices. |
2 |
|
toeplitz-like structure |
2 |
|
toeplitz-related matrices |
2 |
|
total-variation |
2 |
|
tournament |
2 |
|
tracy-widom law |
2 |
|
transcription factors - genetics |
2 |
|
transductive learning |
2 |
|
transforms |
2 |
|
transition matrices |
2 |
|
transition probability matrix |
2 |
|
transmissible spongiform encephalopathies |
2 |
|
travel time |
2 |
|
traveling salesman problem |
2 |
|
traveltime |
2 |
|
tree-based heuristic algorithm |
2 |
|
triangular toeplitz matrix |
2 |
|
uncertainty quantification |
2 |
|
undecimated wavelet transforml |
2 |
|
utility maximization |
2 |
|
value iteration method |
2 |
|
value-at-risk |
2 |
|
variable splitting method |
2 |
|
variational inequality |
2 |
|
variational methods |
2 |
|
variational model |
2 |
|
velocity |
2 |
|
vessel segmentation |
2 |
|
video surveillance |
2 |
|
wavelet denoising |
2 |
|
weak markov chain process |
2 |
|
well-posedness |
2 |
|
weyl groups. |
2 |
|
wild automorphisms |
2 |
|
yeasts - genetics |
2 |
|
'trigger' events |
1 |
|
(k, k)-sparse |
1 |
|
(s, s) policies |
1 |
|
0-hecke algebra |
1 |
|
0-hecke algebras |
1 |
|
05c78 |
1 |
|
11e20 |
1 |
|
11e25 |
1 |
|
11e76 |
1 |
|
11f11 |
1 |
|
11f27 |
1 |
|
11f37 |
1 |
|
11g05 |
1 |
|
11g18 |
1 |
|
11m20 (primary) |
1 |
|
14g17 (primary) |
1 |
|
14g35 |
1 |
|
14m15 |
1 |
|
15a60 |
1 |
|
15a63 |
1 |
|
15a69 |
1 |
|
17b22 |
1 |
|
1991 mathematics subject classification: 10h05 |
1 |
|
2-linkage |
1 |
|
2-scale asymptotic expansion |
1 |
|
2010 mathematics subject classification: |
1 |
|
2020 mathematics subject classification 11g25 20g25 |
1 |
|
20g25 |
1 |
|
20g40 (secondary) |
1 |
|
2d |
1 |
|
32h02 |
1 |
|
35a01 |
1 |
|
35b53 |
1 |
|
35j70 |
1 |
|
35k45 |
1 |
|
35k50 |
1 |
|
35k57 |
1 |
|
35q35 |
1 |
|
3d axis-symmetric object |
1 |
|
3d-patches |
1 |
|
4/3 -variation |
1 |
|
47b10; secondary 42c15 |
1 |
|
4d-var |
1 |
|
53b25 |
1 |
|
53c55 |
1 |
|
60b20 |
1 |
|
60b20 (primary) |
1 |
|
65f25 |
1 |
|
65k05 |
1 |
|
76b03 |
1 |
|
90c06 |
1 |
|
90c26 |
1 |
|
90c30 |
1 |
|
92b99 |
1 |
|
92c15 |
1 |
|
92c17 |
1 |
|
a posteriori error estimate |
1 |
|
a posteriori error estimator |
1 |
|
a-posteriori error estimate |
1 |
|
a-set |
1 |
|
aa spectrum kernel |
1 |
|
aaindex |
1 |
|
abaci and t-residue diagrams |
1 |
|
abelian variety |
1 |
|
abstract nonlinear dynamic equation |
1 |
|
accelerated coordinate descent |
1 |
|
accelerated gradient descent |
1 |
|
acceleration |
1 |
|
accuracy |
1 |
|
acoustic |
1 |
|
active learning |
1 |
|
acyclic coloring |
1 |
|
acyclic directed networks |
1 |
|
adam |
1 |
|
adaptation models |
1 |
|
adaptive bayesian method |
1 |
|
adaptive enrichment |
1 |
|
adaptive estimator |
1 |
|
adaptive filter |
1 |
|
adaptive finite element method |
1 |
|
adaptive hierarchical posterior |
1 |
|
adaptive moving average method |
1 |
|
adaptive regularization |
1 |
|
adaptive system and control |
1 |
|
adaptive tight frame |
1 |
|
adaptive weighted |
1 |
|
adaptivity algorithm |
1 |
|
adjoint equations |
1 |
|
admissible observation operator |
1 |
|
advanced transportation information system (atis) |
1 |
|
advertising outsourcing |
1 |
|
affine coxeter groups |
1 |
|
affine deligne |
1 |
|
affine deligne-lusztig varieties |
1 |
|
affine deligne–lusztig varieties |
1 |
|
affine hecke algebra |
1 |
|
affine hecke algebras |
1 |
|
affine jump diffusion model |
1 |
|
affine plane |
1 |
|
affine schubert variety |
1 |
|
affine weyl groups |
1 |
|
affinity calculation |
1 |
|
affinity propagation |
1 |
|
affne deligne-lusztig varieties |
1 |
|
agglomerative |
1 |
|
aggregate measure |
1 |
|
aggregation |
1 |
|
aggregation equation |
1 |
|
aggregation equations |
1 |
|
air quality prediction |
1 |
|
algebraic differential equation |
1 |
