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ICML
1999
IEEE
16 years 5 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
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
16 years 4 months ago
Discovery of climate indices using clustering
To analyze the effect of the oceans and atmosphere on land climate, Earth Scientists have developed climate indices, which are time series that summarize the behavior of selected ...
Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Ste...
172
Voted
AMOST
2007
ACM
15 years 8 months ago
Achieving both model and code coverage with automated gray-box testing
We have devised a novel technique to automatically generate test cases for a software system, combining black-box model-based testing with white-box parameterized unit testing. Th...
Nicolas Kicillof, Wolfgang Grieskamp, Nikolai Till...
PAKDD
2005
ACM
180views Data Mining» more  PAKDD 2005»
15 years 9 months ago
Conditional Random Fields for Transmembrane Helix Prediction
Abstract. It is estimated that 20% of genes in the human genome encode for integral membrane proteins (IMPs) and some estimates are much higher. IMPs control a broad range of event...
Lior Lukov, Sanjay Chawla, W. Bret Church
121
Voted
ECAI
2004
Springer
15 years 8 months ago
Instance-Based Prediction with Guaranteed Confidence
Instance-based learning (IBL) algorithms have proved to be successful in many applications. However, as opposed to standard statistical methods, a prediction in IBL is usually give...
Eyke Hüllermeier