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» The Indifferent Naive Bayes Classifier
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KDD
2007
ACM
139views Data Mining» more  KDD 2007»
15 years 9 months ago
Raising the baseline for high-precision text classifiers
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
Aleksander Kolcz, Wen-tau Yih
FSKD
2006
Springer
115views Fuzzy Logic» more  FSKD 2006»
15 years 1 months ago
Improvement of Decision Accuracy Using Discretization of Continuous Attributes
Abstract. The na
Qingxiang Wu, David A. Bell, T. Martin McGinnity, ...
JMLR
2010
154views more  JMLR 2010»
14 years 4 months ago
MOA: Massive Online Analysis
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collecti...
Albert Bifet, Geoff Holmes, Richard Kirkby, Bernha...
ACL
2012
12 years 11 months ago
Toward Automatically Assembling Hittite-Language Cuneiform Tablet Fragments into Larger Texts
This paper presents the problem within Hittite and Ancient Near Eastern studies of fragmented and damaged cuneiform texts, and proposes to use well-known text classification metr...
Stephen Tyndall
CICLING
2004
Springer
15 years 2 months ago
Automatic Learning Features Using Bootstrapping for Text Categorization
When text categorization is applied to complex tasks, it is tedious and expensive to hand-label the large amounts of training data necessary for good performance. In this paper, we...
Wenliang Chen, Jingbo Zhu, Honglin Wu, Tianshun Ya...