ScienceOpen:
research and publishing network
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
My ScienceOpen
Sign in
Register
Dashboard
Blog
About
Search
Advanced search
My ScienceOpen
Sign in
Register
Dashboard
Search
Search
Advanced search
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
Blog
About
55
views
0
references
Top references
cited by
135
Cite as...
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
2,097
similar
All similar
Record
: found
Abstract
: not found
Book Chapter
: not found
Machine Learning: ECML-98
Naive (Bayes) at forty: The independence assumption in information retrieval
other
Author(s):
David D. Lewis
Publication date
(Online):
June 16 2005
Publisher:
Springer Berlin Heidelberg
Read this book at
Publisher
Further versions
open (via free pdf)
Powered by
Buy book
Review
Review book
Invite someone to review
Bookmark
Cite as...
There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
Management Information Systems
Author and book information
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
History
Data availability:
Comments
Comment on this book
Sign in to comment
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
Similar content
2,097
Intelligent recommendation of related items based on naive bayes and collaborative filtering combination model
Authors:
Wei Wei
,
Zhuo Wang
,
Changlong Fu
…
A peripheral CD4+ T cell precursor for naive, memory, and regulatory T cells
Authors:
CHUNFANG ZHAO
,
Joanna Davies
Standardized
Prunella vulgaris
var.
lilacina
Extract Enhances Cognitive Performance in Normal Naive Mice : Memory Enhancing Effect of Prunella vulgaris
Authors:
Se Park
,
Young Je Ahn
,
Hyung Lee
…
See all similar
Cited by
133
Large-scale automated synthesis of human functional neuroimaging data
Authors:
Tal Yarkoni
,
Russell Poldrack
,
Thomas Nichols
…
Sentiment analysis: A combined approach
Authors:
Mike Thelwall
,
Rudy Prabowo
Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
Authors:
Alexios Koutsoukas
,
Keith Monaghan
,
Xiaoli Li
…
See all cited by