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» Feature Selection Methods for Conversational Recommender Sys...
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AIA
2007
15 years 4 months ago
Adaptive preference elicitation for top-K recommendation tasks using GAI-networks
The enormous number of questions needed to acquire a full preference model when the size of the outcome space is large forces us to work with partial models that approximate the u...
Sérgio R. de M. Queiroz
123
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IPMU
2010
Springer
15 years 1 months ago
Attribute Value Selection Considering the Minimum Description Length Approach and Feature Granularity
Abstract. In this paper we introduce a new approach to automatic attribute and granularity selection for building optimum regression trees. The method is based on the minimum descr...
Kemal Ince, Frank Klawonn
147
Voted
CLEF
2008
Springer
15 years 4 months ago
On the Evaluation of Snippet Selection for WebCLEF
WebCLEF is about supporting a user who is an expert in writing a survey article on a specific topic with a clear goal and audience by generating a ranked list with relevant snippet...
Arnold Overwijk, Dong Nguyen, Claudia Hauff, Dolf ...
141
Voted
CIKM
2009
Springer
15 years 6 months ago
Efficient feature weighting methods for ranking
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
Hwanjo Yu, Jinoh Oh, Wook-Shin Han
111
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ECAI
2008
Springer
15 years 4 months ago
Learning to Select Object Recognition Methods for Autonomous Mobile Robots
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
Reinaldo A. C. Bianchi, Arnau Ramisa, Ramon L&oacu...