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                             24 gevonden resultaten
nr titel auteur tijdschrift jaar jaarg. afl. pagina('s) type
1 A bagging SVM to learn from positive and unlabeled examples Mordelet, F.
 2014
 37 C p. 201-209
9 p.
 artikel
2 A case study of linear classifiers adapted using imperfect labels derived from human event-related potentials Zeyl, Timothy J.
 2014
 37 C p. 54-62
9 p.
 artikel
3 Analysis of unsupervised template update in biometric recognition systems Didaci, Luca
 2014
 37 C p. 151-160
10 p.
 artikel
4 A new interactive semi-supervised clustering model for large image database indexing Lai, Hien Phuong
 2014
 37 C p. 94-106
13 p.
 artikel
5 Boosting for multiclass semi-supervised learning Tanha, Jafar
 2014
 37 C p. 63-77
15 p.
 artikel
6 Combination of supervised and unsupervised learning for training the activation functions of neural networks Castelli, Ilaria
 2014
 37 C p. 178-191
14 p.
 artikel
7 Constrained instance clustering in multi-instance multi-label learning Pei, Yuanli
 2014
 37 C p. 107-114
8 p.
 artikel
8 Context-sensitive intra-class clustering Yu, Yingwei
 2014
 37 C p. 85-93
9 p.
 artikel
9 Cost-sensitive active learning for computer-assisted translation González-Rubio, Jesús
 2014
 37 C p. 124-134
11 p.
 artikel
10 Editors-in-Chief, Area/Associate/Advisory/Founding Editors 2014
 37 C p. IFC-
1 p.
 artikel
11 Effective balancing error and user effort in interactive handwriting recognition Serrano, N.
 2014
 37 C p. 135-142
8 p.
 artikel
12 Feature enrichment and selection for transductive classification on networked data Cataltepe, Zehra
 2014
 37 C p. 41-53
13 p.
 artikel
13 Hierarchical spatiotemporal feature extraction using recurrent online clustering Young, S.R.
 2014
 37 C p. 115-123
9 p.
 artikel
14 Hinge loss bound approach for surrogate supervision multi-view learning Jin, Gaole
 2014
 37 C p. 143-150
8 p.
 artikel
15 Joint semi-supervised learning of Hidden Conditional Random Fields and Hidden Markov Models Soullard, Yann
 2014
 37 C p. 161-171
11 p.
 artikel
16 Laplacian minimax probability machine Yoshiyama, K.
 2014
 37 C p. 192-200
9 p.
 artikel
17 Partially supervised learning for pattern recognition Schwenker, Friedhelm
 2014
 37 C p. 1-3
3 p.
 artikel
18 Pattern classification and clustering: A review of partially supervised learning approaches Schwenker, Friedhelm
 2014
 37 C p. 4-14
11 p.
 artikel
19 Semi-supervised clustering of large data sets with kernel methods Faußer, Stefan
 2014
 37 C p. 78-84
7 p.
 artikel
20 Semi-supervised ensemble update strategies for on-line classification of fMRI data Plumpton, Catrin Oliver
 2014
 37 C p. 172-177
6 p.
 artikel
21 Semi-supervised linear discriminant analysis through moment-constraint parameter estimation Loog, Marco
 2014
 37 C p. 24-31
8 p.
 artikel
22 Transfer learning with one-class data Chen, Jixu
 2014
 37 C p. 32-40
9 p.
 artikel
23 Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers Anguita, Davide
 2014
 37 C p. 210-219
10 p.
 artikel
24 Unlabeling data can improve classification accuracy Lausser, Ludwig
 2014
 37 C p. 15-23
9 p.
 artikel
                             24 gevonden resultaten
 
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