Preference Learning:
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin
Springer Berlin
2014
|
| Ausgabe: | Softcover re-print of the Hardcover 1st edition 2011 |
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | IX, 466 Seiten 235 mm x 155 mm, 724 g |
| ISBN: | 9783642422300 3642422306 |
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Datensatz im Suchindex
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Contents Preference Learning: An Introduction. Johannes Fiirnkranz and Eyke Hüllermeier A Preference Optimization Based Unifying Framework for Supervised Learning Problems. Fabio Aiolli and Alessandro Sperduti Part I 1 19 Label Ranking Label Ranking Algorithms: A Survey. 45 Shankar Vembu and Thomas Gärtner Preference Learning and Ranking by Pairwise Comparison. 65 Johannes Fürnkranz and Eyke Hüllermeier Decision Tree Modeling for Ranking Data. 83 Philip L.H. Yu, Wai Ming Wan, and Paul H. Lee Co-Regularized Least-Squares for Label Ranking. 107 Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski, and Tom Heskes Part II Instance Ranking A Survey on ROC-Based Ordinal Regression. 127 Willem Waegeman and Bernard De Baets Ranking Cases with Classification Rules. 155 Jianping Zhang, Jerzy W. Bala, Ali Hadjarian, and Brent Han vii
viii Part III Contents Object Ranking A Survey and Empirical Comparison of Object Ranking Methods. 181 Toshihiro Kamishima, Hideto Kazawa, and Shotaro Akaho Dimension Reduction for Object Ranking. 203 Toshihiro Kamishima and Shotaro Akaho Learning of Rule Ensembles for Multiple Attribute Ranking Problems . 217 Krzysztof Dembczyňski, Wojciech Kotlowski, Roman Słowiński, and Marcin Szelag Part IV Preferences in Multi-Attribute Domains Learning Lexicographic Preference Models. 251 Fusun Yaman, Thomas J. Walsh, Michael L. Littman, and Marie desJardins Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets. 273 Yann Chevaleyre, Frédéric Koriche, Jérôme Lang, Jérôme Mengin, and Bruno Zanuttini Choice-Based Conjoint Analysis: Classification vs. Discrete Choice Models. 297 Joachim Giesen, Klaus Mueller, Bilyana Taneva, and Peter Zolliker Learning Aggregation Operators for Preference Modeling. 317 Vicenç Torra Part V Preferences in Information Retrieval Evaluating Search Engine Relevance with Click-Based
Metrics. 337 Filip Radliński, Madhu Kurup, and Thorsten Joachims Learning SVM Ranking Functions from User Feedback Using Document Metadata and Active Learning in the Biomedical Domain. 363 Robert Arens
Contents Part VI Preferences in Recommender Systems Learning Preference Models in Recommender Systems. Յ87 Marco de Gemmiş, Leo laquinta, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, and Giovanni Semeraro Collaborative Preference Learning. Alexandros Karatzoglou and Markus Weimer Discerning Relevant Model Features in a Content-Based Collaborative Recommender System. Alejandro Bellogín, Iván Cantador, Pablo Castells, and Alvaro Ortigosa Subject Index. Author Index. 4qç 42$ 45շ . 465 |
| adam_txt |
Contents Preference Learning: An Introduction. Johannes Fiirnkranz and Eyke Hüllermeier A Preference Optimization Based Unifying Framework for Supervised Learning Problems. Fabio Aiolli and Alessandro Sperduti Part I 1 19 Label Ranking Label Ranking Algorithms: A Survey. 45 Shankar Vembu and Thomas Gärtner Preference Learning and Ranking by Pairwise Comparison. 65 Johannes Fürnkranz and Eyke Hüllermeier Decision Tree Modeling for Ranking Data. 83 Philip L.H. Yu, Wai Ming Wan, and Paul H. Lee Co-Regularized Least-Squares for Label Ranking. 107 Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski, and Tom Heskes Part II Instance Ranking A Survey on ROC-Based Ordinal Regression. 127 Willem Waegeman and Bernard De Baets Ranking Cases with Classification Rules. 155 Jianping Zhang, Jerzy W. Bala, Ali Hadjarian, and Brent Han vii
viii Part III Contents Object Ranking A Survey and Empirical Comparison of Object Ranking Methods. 181 Toshihiro Kamishima, Hideto Kazawa, and Shotaro Akaho Dimension Reduction for Object Ranking. 203 Toshihiro Kamishima and Shotaro Akaho Learning of Rule Ensembles for Multiple Attribute Ranking Problems . 217 Krzysztof Dembczyňski, Wojciech Kotlowski, Roman Słowiński, and Marcin Szelag Part IV Preferences in Multi-Attribute Domains Learning Lexicographic Preference Models. 251 Fusun Yaman, Thomas J. Walsh, Michael L. Littman, and Marie desJardins Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets. 273 Yann Chevaleyre, Frédéric Koriche, Jérôme Lang, Jérôme Mengin, and Bruno Zanuttini Choice-Based Conjoint Analysis: Classification vs. Discrete Choice Models. 297 Joachim Giesen, Klaus Mueller, Bilyana Taneva, and Peter Zolliker Learning Aggregation Operators for Preference Modeling. 317 Vicenç Torra Part V Preferences in Information Retrieval Evaluating Search Engine Relevance with Click-Based
Metrics. 337 Filip Radliński, Madhu Kurup, and Thorsten Joachims Learning SVM Ranking Functions from User Feedback Using Document Metadata and Active Learning in the Biomedical Domain. 363 Robert Arens
Contents Part VI Preferences in Recommender Systems Learning Preference Models in Recommender Systems. Յ87 Marco de Gemmiş, Leo laquinta, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, and Giovanni Semeraro Collaborative Preference Learning. Alexandros Karatzoglou and Markus Weimer Discerning Relevant Model Features in a Content-Based Collaborative Recommender System. Alejandro Bellogín, Iván Cantador, Pablo Castells, and Alvaro Ortigosa Subject Index. Author Index. 4qç 42$ 45շ . 465 |
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| edition | Softcover re-print of the Hardcover 1st edition 2011 |
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