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ACL
2012
7 years 2 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
ICCV
2011
IEEE
7 years 12 months ago
The NBNN kernel
Naive Bayes Nearest Neighbor (NBNN) has recently been proposed as a powerful, non-parametric approach for object classification, that manages to achieve remarkably good results t...
Tinne Tuytelaars, Mario Fritz, Kate Saenko, Trevor...
CHI
2011
ACM
8 years 3 months ago
Knowing funny: genre perception and categorization in social video sharing
Categorization of online videos is often treated as a tag suggestion task; tags can be generated by individuals or by machine classification. In this paper, we suggest categoriza...
Jude Yew, David A. Shamma, Elizabeth F. Churchill
JCIT
2010
148views more  JCIT 2010»
8 years 6 months ago
Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...
ICDM
2009
IEEE
107views Data Mining» more  ICDM 2009»
8 years 9 months ago
Naive Bayes Classification of Uncertain Data
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, R...
ECIR
2009
Springer
8 years 9 months ago
Adapting Naive Bayes to Domain Adaptation for Sentiment Analysis
Abstract. In the community of sentiment analysis, supervised learning techniques have been shown to perform very well. When transferred to another domain, however, a supervised sen...
Songbo Tan, Xueqi Cheng, Yuefen Wang, Hongbo Xu
JIIS
2002
168views more  JIIS 2002»
8 years 11 months ago
Hidden Markov Models for Text Categorization in Multi-Page Documents
In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...
Paolo Frasconi, Giovanni Soda, Alessandro Vullo
CORR
2000
Springer
132views Education» more  CORR 2000»
8 years 11 months ago
A Comparison between Supervised Learning Algorithms for Word Sense Disambiguation
This paper describes a set of comparative experiments, including cross{corpus evaluation, between ve alternative algorithms for supervised Word Sense Disambiguation (WSD), namely ...
Gerard Escudero, Lluís Màrquez, Germ...
IVC
2007
99views more  IVC 2007»
8 years 11 months ago
On the Bayes fusion of visual features
We consider the problem of image classification when more than one visual feature is available. In such cases, Bayes fusion offers an attractive solution by combining the result...
Xiaojin Shi, Roberto Manduchi
IDA
2007
Springer
8 years 12 months ago
An evaluation of Naive Bayes variants in content-based learning for spam filtering
We describe an in-depth analysis of spam-filtering performance of a simple Naive Bayes learner and two extended variants. A set of seven mailboxes comprising about 65,000 mails f...
Alexander K. Seewald
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