Lecture Notes in Computer Science - Partially Supervised Learning
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Published By Springer Berlin Heidelberg

9783642282577, 9783642282584

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Sink Web Pages in Web Application

Lecture Notes in Computer Science - Partially Supervised Learning ◽

10.1007/978-3-642-28258-4_17 ◽

2012 ◽

pp. 154-158 ◽

Author(s):

Doru Anastasiu Popescu

Keyword(s):

Web Application ◽

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Comparison of Combined Probabilistic Connectionist Models in a Forensic Application

Lecture Notes in Computer Science - Partially Supervised Learning ◽

10.1007/978-3-642-28258-4_14 ◽

2012 ◽

pp. 128-137

Author(s):

Edmondo Trentin ◽

Luca Lusnig ◽

Fabio Cavalli

Keyword(s):

Forensic Application ◽

Connectionist Models

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Homeokinetic Reinforcement Learning

Lecture Notes in Computer Science - Partially Supervised Learning ◽

10.1007/978-3-642-28258-4_9 ◽

2012 ◽

pp. 82-91 ◽

Author(s):

Simón C. Smith ◽

J. Michael Herrmann

Keyword(s):

Reinforcement Learning

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Manifold-Regularized Minimax Probability Machine

Lecture Notes in Computer Science - Partially Supervised Learning ◽

10.1007/978-3-642-28258-4_5 ◽

2012 ◽

pp. 42-51 ◽

Author(s):

Kazuki Yoshiyama ◽

Akito Sakurai

Keyword(s):

Minimax Probability Machine

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Semi-Supervised Kernel Clustering with Sample-to-Cluster Weights

Lecture Notes in Computer Science - Partially Supervised Learning ◽

10.1007/978-3-642-28258-4_8 ◽

2012 ◽

pp. 72-81 ◽

Author(s):

Stefan Faußer ◽

Friedhelm Schwenker

Keyword(s):

Kernel Clustering

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Semi-unsupervised Weighted Maximum-Likelihood Estimation of Joint Densities for the Co-training of Adaptive Activation Functions

Lecture Notes in Computer Science - Partially Supervised Learning ◽

10.1007/978-3-642-28258-4_7 ◽

2012 ◽

pp. 62-71 ◽

Author(s):

Ilaria Castelli ◽

Edmondo Trentin

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Likelihood Estimation ◽

Activation Functions

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Semi-supervised Training Set Adaption to Unknown Countries for Traffic Sign Classifiers

Lecture Notes in Computer Science - Partially Supervised Learning ◽

10.1007/978-3-642-28258-4_13 ◽

2012 ◽

pp. 120-127 ◽

Author(s):

Matthias Hillebrand ◽

Christian Wöhler ◽

Ulrich Kreßel ◽

Franz Kummert

Keyword(s):

Training Set ◽

Traffic Sign ◽

Supervised Training

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Multi-instance Methods for Partially Supervised Image Segmentation

Lecture Notes in Computer Science - Partially Supervised Learning ◽

10.1007/978-3-642-28258-4_12 ◽

2012 ◽

pp. 110-119

Author(s):

Andreas Müller ◽

Sven Behnke

Keyword(s):

Image Segmentation

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Unlabeled Data and Multiple Views

Lecture Notes in Computer Science - Partially Supervised Learning ◽

10.1007/978-3-642-28258-4_1 ◽

2012 ◽

pp. 1-7 ◽

Author(s):

Zhi-Hua Zhou

Keyword(s):

Unlabeled Data ◽

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Studying Self- and Active-Training Methods for Multi-feature Set Emotion Recognition

Lecture Notes in Computer Science - Partially Supervised Learning ◽

10.1007/978-3-642-28258-4_3 ◽

2012 ◽

pp. 19-31 ◽

Author(s):

José Esparza ◽

Stefan Scherer ◽

Friedhelm Schwenker

Keyword(s):

Emotion Recognition ◽

Training Methods ◽

Active Training

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