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ICML
1999
IEEE
14 years 9 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
INFOVIS
2003
IEEE
14 years 1 months ago
Visualizing Evolving Networks: Minimum Spanning Trees versus Pathfinder Networks
Network evolution is a ubiquitous phenomenon in a wide variety of complex systems. There is an increasing interest in statistically modeling the evolution of complex networks such...
Chaomei Chen, Steven Morris
ICML
2000
IEEE
14 years 9 months ago
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
Mark A. Hall
ISCC
2006
IEEE
14 years 2 months ago
An Optimized Peer-to-Peer Overlay Network for Service Discovery
In this paper, we propose DINPeer, an optimized peer-to-peer (P2P) overlay network for service discovery by overcoming limitations in current multicast discovery approaches and P2...
H. Q. Guo, D. Q. Zhang, Lek Heng Ngoh, Wai-Choong ...
EDBT
2009
ACM
110views Database» more  EDBT 2009»
14 years 28 days ago
A sampling approach for XML query selectivity estimation
As the Extensible Markup Language (XML) rapidly establishes itself as the de facto standard for presenting, storing, and exchanging data on the Internet, large volume of XML data ...
Cheng Luo, Zhewei Jiang, Wen-Chi Hou, Feng Yu, Qia...