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ML
2000
ACM
157views Machine Learning» more  ML 2000»
14 years 11 months ago
A Multistrategy Approach to Classifier Learning from Time Series
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
William H. Hsu, Sylvian R. Ray, David C. Wilkins
ATS
2009
IEEE
117views Hardware» more  ATS 2009»
15 years 5 months ago
N-distinguishing Tests for Enhanced Defect Diagnosis
Diagnostic ATPG has traditionally been used to generate test patterns that distinguish pairs of modeled faults. In this work, we investigate the use of n-distinguishing test sets,...
Gang Chen, Janusz Rajski, Sudhakar M. Reddy, Irith...
MST
2010
93views more  MST 2010»
14 years 9 months ago
Atomic Congestion Games: Fast, Myopic and Concurrent
We study here the effect of concurrent greedy moves of players in atomic congestion games where n selfish agents (players) wish to select a resource each (out of m resources) so ...
Dimitris Fotakis, Alexis C. Kaporis, Paul G. Spira...
AMAI
2004
Springer
15 years 4 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian
88
Voted
WSC
1997
15 years 12 days ago
AutoStat: Output Statistical Analysis for AutoMod Users
AutoStat™ is an extension package for AutoMod™ and AutoSched™ models that provides complete support for simulation model experimentation and statistical analysis of outputs....
John S. Carson II