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» Comparison of Statistical Significance Criteria
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ML
2000
ACM
154views Machine Learning» more  ML 2000»
13 years 6 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
WWW
2006
ACM
14 years 7 months ago
The web structure of e-government - developing a methodology for quantitative evaluation
In this paper we describe preliminary work that examines whether statistical properties of the structure of websites can be an informative measure of their quality. We aim to deve...
Vaclav Petricek, Tobias Escher, Ingemar J. Cox, He...
OSDI
2008
ACM
14 years 7 months ago
Difference Engine: Harnessing Memory Redundancy in Virtual Machines
Virtual machine monitors (VMMs) are a popular platform for Internet hosting centers and cloud-based compute services. By multiplexing hardware resources among virtual machines (VM...
Diwaker Gupta, Sangmin Lee, Michael Vrable, Stefan...
AIME
1997
Springer
13 years 11 months ago
A Task-Specific Ontology for the Application and Critiquing of Time-Oriented Clinical Guidelines
: Clinical guidelines reuse existing clinical procedural knowledge while leaving room for flexibility by the care provider applying that knowledge. Guidelines can be viewed as gene...
Yuval Shahar, Silvia Miksch, Peter Johnson
AI
2008
Springer
13 years 7 months ago
A study of mechanisms for improving robotic group performance
Many collaborative multi-robot application domains have limited areas of operation that cause spatial conflicts between robotic teammates. These spatial conflicts can cause the te...
Avi Rosenfeld, Gal A. Kaminka, Sarit Kraus, Onn Sh...