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Machine Learning: ECML-98
Naive (Bayes) at forty: The independence assumption in information retrieval
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Author(s):
David D. Lewis
Publication date
(Online):
June 16 2005
Publisher:
Springer Berlin Heidelberg
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Management Information Systems
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Book Chapter
Publication date (Print):
1998
Publication date (Online):
June 16 2005
Pages
: 4-15
DOI:
10.1007/BFb0026666
SO-VID:
cd005a8f-e24e-4250-8ad9-9582c1b494d2
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Book chapters
pp. 25
Part-of-speech tagging using decision trees
pp. 4
Naive (Bayes) at forty: The independence assumption in information retrieval
pp. 101
A monotonic measure for optimal feature selection
pp. 250
First-order learning for Web mining
pp. 292
Recursive lazy learning for modeling and control
pp. 95
Feature subset selection in text-learning
pp. 119
God doesn't always shave with Occam's razor — Learning when and how to prune
pp. 131
Pruning decision trees with misclassification costs
pp. 137
Text categorization with Support Vector Machines: Learning with many relevant features
pp. 160
Improved pairwise coupling classification with correcting classifiers
pp. 382
Theoretical results on reinforcement learning with temporally abstract options
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