De som köpt den här boken har ofta också köpt Python Crash Course, 3rd Edition av Eric Matthes (häftad).
Köp båda 2 för 2849 krFrom the reviews: The book looks at three major types of preference learning: label ranking, instance ranking, and object ranking. chapters contain case studies and actual experiments to illustrate the claims made within. this is a useful book in an emerging and important area, and hence would be of interest to machine learning researchers. The book is quite readable to that audience, despite a heavy emphasis on formal treatment. (M. Sasikumar, ACM Computing Reviews, September, 2011)
Preference Learning: An Introduction.- A Preference Optimization Based Unifying Framework for Supervised Learning Problems.- Label Ranking Algorithms: A Survey.- Preference Learning and Ranking by Pairwise Comparison.- Decision Tree Modeling for Ranking Data.- Co-regularized Least-Squares for Label Ranking.- A Survey on ROC-Based Ordinal Regression.- Ranking Cases with Classification Rules.- A Survey and Empirical Comparison of Object Ranking Methods.- Dimension Reduction for Object Ranking.- Learning of Rule Ensembles for Multiple Attribute Ranking Problems.- Learning Lexicographic Preference Models.- Learning Ordinal Preferences on Multiattribute Domains: the Case of CP-nets.- Choice-Based Conjoint Analysis: Classification vs. Discrete Choice Models.- Learning Aggregation Operators for Preference Modeling.- Evaluating Search Engine Relevance with Click-Based Metrics.- Learning SVM Ranking Function from User Feedback Using Document.- Metadata and Active Learning in the Biomedical Domain.- Learning Preference Models in Recommender Systems.- Collaborative Preference Learning.- Discerning Relevant Model Features in a Content-Based Collaborative Recommender System.- Author Index.- Subject Index