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On-line learning for adaptive text filtering.

Yu Kwok Leung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1999. / Includes bibliographical references (leaves 91-96). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- The Problem --- p.1 / Chapter 1.2 --- Information Filtering --- p.2 / Chapter 1.3 --- Contributions --- p.7 / Chapter 1.4 --- Organization Of The Thesis --- p.10 / Chapter 2 --- Related Work --- p.12 / Chapter 3 --- Adaptive Text Filtering --- p.22 / Chapter 3.1 --- Representation --- p.22 / Chapter 3.1.1 --- Textual Document --- p.23 / Chapter 3.1.2 --- Filtering Profile --- p.28 / Chapter 3.2 --- On-line Learning Algorithms For Adaptive Text Filtering --- p.29 / Chapter 3.2.1 --- The Sleeping Experts Algorithm --- p.29 / Chapter 3.2.2 --- The EG-based Algorithms --- p.32 / Chapter 4 --- The REPGER Algorithm --- p.37 / Chapter 4.1 --- A New Approach --- p.37 / Chapter 4.2 --- Relevance Prediction By RElevant feature Pool --- p.42 / Chapter 4.3 --- Retrieving Good Training Examples --- p.45 / Chapter 4.4 --- Learning Dissemination Threshold Dynamically --- p.49 / Chapter 5 --- The Threshold Learning Algorithm --- p.50 / Chapter 5.1 --- Learning Dissemination Threshold Dynamically --- p.50 / Chapter 5.2 --- Existing Threshold Learning Techniques --- p.51 / Chapter 5.3 --- A New Threshold Learning Algorithm --- p.53 / Chapter 6 --- Empirical Evaluations --- p.55 / Chapter 6.1 --- Experimental Methodology --- p.55 / Chapter 6.2 --- Experimental Settings --- p.59 / Chapter 6.3 --- Experimental Results --- p.62 / Chapter 7 --- Integrating With Feature Clustering --- p.76 / Chapter 7.1 --- Distributional Clustering Algorithm --- p.79 / Chapter 7.2 --- Integrating With Our REPGER Algorithm --- p.82 / Chapter 7.3 --- Empirical Evaluation --- p.84 / Chapter 8 --- Conclusions --- p.87 / Chapter 8.1 --- Summary --- p.87 / Chapter 8.2 --- Future Work --- p.88 / Bibliography --- p.91 / Chapter A --- Experimental Results On The AP Corpus --- p.97 / Chapter A.1 --- The EG Algorithm --- p.97 / Chapter A.2 --- The EG-C Algorithm --- p.98 / Chapter A.3 --- The REPGER Algorithm --- p.100 / Chapter B --- Experimental Results On The FBIS Corpus --- p.102 / Chapter B.1 --- The EG Algorithm --- p.102 / Chapter B.2 --- The EG-C Algorithm --- p.103 / Chapter B.3 --- The REPGER Algorithm --- p.105 / Chapter C --- Experimental Results On The WSJ Corpus --- p.107 / Chapter C.1 --- The EG Algorithm --- p.107 / Chapter C.2 --- The EG-C Algorithm --- p.108 / Chapter C.3 --- The REPGER Algorithm --- p.110

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_322798
Date January 1999
ContributorsYu, Kwok Leung., Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, xi, 107 leaves : ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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