Learning drifting concepts: Example selection vs. example weighting
暂无分享,去创建一个
[1] Gert Cauwenberghs,et al. Incremental and Decremental Support Vector Machine Learning , 2000, NIPS.
[2] Stefan Rüping,et al. Incremental Learning with Support Vector Machines , 2001, ICDM.
[3] James Allan,et al. Incremental relevance feedback for information filtering , 1996, SIGIR '96.
[4] Ronald L. Rivest,et al. Learning Time-Varying Concepts , 1990, NIPS.
[5] Stefan Rüping,et al. Concept Drift and the Importance of Example , 2003, Text Mining.
[6] Huan Liu,et al. Handling concept drifts in incremental learning with support vector machines , 1999, KDD '99.
[7] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[8] Gerhard Widmer,et al. Learning in the Presence of Concept Drift and Hidden Contexts , 1996, Machine Learning.
[9] Thorsten Joachims,et al. Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.
[10] Marko Balabanovic,et al. An adaptive Web page recommendation service , 1997, AGENTS '97.
[11] Gerard Salton,et al. Term-Weighting Approaches in Automatic Text Retrieval , 1988, Inf. Process. Manag..
[12] Thorsten Joachims,et al. The Maximum-Margin Approach to Learning Text Classifiers , 2001, Künstliche Intell..
[13] B. Schölkopf,et al. General cost functions for support vector regression. , 1998 .
[14] Thorsten Joachims,et al. Web Watcher: A Tour Guide for the World Wide Web , 1997, IJCAI.
[15] Ingo Mierswa,et al. A Flexible Platform for Knowledge Discovery Experiments: YALE – Yet Another Learning Environment , 2003 .
[16] Tom M. Mitchell,et al. Experience with a learning personal assistant , 1994, CACM.
[17] Philip M. Long,et al. Tracking Drifting Concepts By Minimizing Disagreements , 2004, Machine Learning.
[18] William W. Cohen. Learning Rules that Classify E-Mail , 1996 .
[19] Bernhard Schölkopf,et al. Convex Cost Functions for Support Vector Regression , 1998 .
[20] Ingrid Renz,et al. Adaptive Information Filtering: Learning in the Presence of Concept Drifts , 1998 .
[21] Thorsten Joachims,et al. Estimating the Generalization Performance of an SVM Efficiently , 2000, ICML.
[22] Ken Lang,et al. NewsWeeder: Learning to Filter Netnews , 1995, ICML.
[23] Ralf Klinkenberg. Maschinelle Lernverfahren zum adaptiven Informationsfiltern bei sich verändernden Konzepten , 2000 .
[24] Thorsten Joachims,et al. Detecting Concept Drift with Support Vector Machines , 2000, ICML.