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ICML
1999
IEEE
14 years 10 months ago
Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
WWW
2005
ACM
14 years 10 months ago
User-centric Web crawling
Search engines are the primary gateways of information access on the Web today. Behind the scenes, search engines crawl the Web to populate a local indexed repository of Web pages...
Sandeep Pandey, Christopher Olston
KDD
2009
ACM
215views Data Mining» more  KDD 2009»
14 years 10 months ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye
KBSE
2007
IEEE
14 years 4 months ago
Unit testing concurrent software
There are many difficulties associated with developing correct multithreaded software, and many of the activities that are simple for single threaded software are exceptionally ha...
William Pugh, Nathaniel Ayewah
ADMA
2005
Springer
157views Data Mining» more  ADMA 2005»
14 years 3 months ago
Learning k-Nearest Neighbor Naive Bayes for Ranking
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
Liangxiao Jiang, Harry Zhang, Jiang Su