X
Search Filters
Format Format
Format Format
X
Sort by Item Count (A-Z)
Filter by Count
Journal Article (3900) 3900
Conference Proceeding (1478) 1478
Publication (472) 472
Book Chapter (152) 152
Dissertation (104) 104
Government Document (15) 15
Magazine Article (12) 12
Book / eBook (10) 10
Web Resource (5) 5
Book Review (4) 4
Paper (4) 4
Reference (4) 4
Data Set (2) 2
Newsletter (2) 2
more...
Subjects Subjects
Subjects Subjects
X
Sort by Item Count (A-Z)
Filter by Count
algorithms (1762) 1762
expectation maximization (1418) 1418
engineering, electrical & electronic (1176) 1176
expectation-maximization algorithm (1159) 1159
expectation-maximization (949) 949
analysis (713) 713
usage (536) 536
mathematical models (528) 528
maximum likelihood estimation (518) 518
humans (511) 511
expectation maximization algorithm (509) 509
index medicus (505) 505
computer science, artificial intelligence (486) 486
computer simulation (479) 479
em algorithm (447) 447
models (438) 438
studies (405) 405
maximum-likelihood (392) 392
parameter estimation (380) 380
algorithm (339) 339
computer science (322) 322
methods (317) 317
image segmentation (316) 316
expectation-maximization algorithms (311) 311
gaussian mixture model (303) 303
telecommunications (297) 297
image reconstruction (292) 292
statistics & probability (291) 291
research (285) 285
estimation (278) 278
radiology, nuclear medicine & medical imaging (271) 271
maximization (269) 269
optimization (259) 259
noise (250) 250
classification (247) 247
images (244) 244
clustering (236) 236
image processing (229) 229
computer science, interdisciplinary applications (222) 222
segmentation (219) 219
convergence (214) 214
artificial intelligence (204) 204
hidden markov models (199) 199
channel estimation (198) 198
computer science, information systems (198) 198
statistics (191) 191
model (188) 188
mathematical analysis (183) 183
models, statistical (182) 182
iterative algorithms (181) 181
reconstruction (177) 177
clustering algorithms (175) 175
engineering, biomedical (173) 173
data models (170) 170
likelihood functions (167) 167
computational modeling (166) 166
maximum likelihood (166) 166
markov processes (165) 165
imaging science & photographic technology (160) 160
innovations (157) 157
bayesian analysis (155) 155
robustness (155) 155
mathematical & computational biology (151) 151
reproducibility of results (151) 151
signal processing algorithms (149) 149
monte carlo method (148) 148
signal processing (148) 148
algorithm design and analysis (144) 144
mathematical model (144) 144
machine learning (142) 142
gaussian processes (141) 141
positron emission tomography (140) 140
sensors (139) 139
identification (138) 138
vectors (135) 135
inference (134) 134
training (132) 132
accuracy (130) 130
channels (130) 130
expectation–maximization algorithm (130) 130
iterative methods (130) 130
automation & control systems (127) 127
computer science, theory & methods (127) 127
article (124) 124
bayesian methods (124) 124
tomography (123) 123
data mining (121) 121
feature extraction (121) 121
sensitivity and specificity (121) 121
image interpretation, computer-assisted - methods (120) 120
image processing, computer-assisted - methods (120) 120
remote sensing (118) 118
magnetic resonance imaging (116) 116
gaussian distribution (115) 115
maximum likelihood estimates (111) 111
neural networks (110) 110
pattern recognition (107) 107
stochastic processes (106) 106
detectors (104) 104
expectation–maximization (104) 104
more...
Library Location Library Location
Library Location Library Location
X
Sort by Item Count (A-Z)
Filter by Count
Online Resources - Online (7) 7
Mathematical Sciences - Stacks (3) 3
Collection Dvlpm't (Acquisitions) - Closed Orders (2) 2
Gerstein Science - Stacks (2) 2
OISE - Stacks (2) 2
Collection Dvlpm't (Acquisitions) - Vendor file (1) 1
UofT at Mississauga - Stacks (1) 1
more...
Language Language
Language Language
X
Sort by Item Count (A-Z)
Filter by Count
English (5322) 5322
Chinese (50) 50
Japanese (40) 40
Korean (14) 14
French (11) 11
German (4) 4
Portuguese (4) 4
Spanish (4) 4
Turkish (3) 3
Polish (1) 1
more...
Publication Date Publication Date
Click on a bar to filter by decade
Slide to change publication date range


Journal of the Royal Statistical Society: Series B (Statistical Methodology), ISSN 1369-7412, 09/2017, Volume 79, Issue 4, pp. 1119 - 1141
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 05/2020, Volume 145, p. 106905
In analyzing ranked data, we often encounter situations in which data are partially ranked. Regarding partially ranked data as missing data, this paper... 
Mallows models | Expectation–Maximization algorithms | Kendall distances | Alternating Direction Method of Multipliers | Expectation-Maximization algorithms | MATHEMATICS
Journal Article
Information Sciences, ISSN 0020-0255, 05/2019, Volume 481, pp. 381 - 393
In regression, a predictive model which is able to anticipate the output of a new case is learnt from a set of previous examples. The output or response value... 
Regression | Marine litter beaching | Aggregated outputs | Linear models | Machine learning | Expectation–Maximization | INGESTION | Expectation-Maximization | PLASTIC DEBRIS | COMPUTER SCIENCE, INFORMATION SYSTEMS | ACCUMULATION | RIVERS | Computer science
Journal Article
Pattern Recognition, ISSN 0031-3203, 08/2014, Volume 47, Issue 8, pp. 2732 - 2744
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 08/2015, Volume 24, Issue 8, pp. 2592 - 2601
Statistical shape models have been extensively used in a wide range of applications due to their effectiveness in providing prior shape information for object... 
Training | Deformable models | Image segmentation | Shape | Estimation | Robustness | Standards | active shape model | expectation-maximization algorithms | Robust statistics | Geometric figures | Usage | Expectation-maximization algorithm | Research
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 09/2013, Volume 34, Issue 12, pp. 1428 - 1436
•We propose a new probabilistic model for learning with multiple annotators.•The reliability of the different annotators is treated as a latent variable.•Model... 
Crowdsourcing | Latent variable models | Logistic Regression | Multiple annotators | Expectation–Maximization | Expectation-Maximization | MUSICAL GENRE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Analysis | Labeling-machines
Journal Article
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 6/2009, Volume 71, Issue 3, pp. 593 - 613
Journal Article