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» Using Machine Learning to Focus Iterative Optimization
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CN
2000
98views more  CN 2000»
15 years 2 months ago
Dynamic pricing by software agents
We envision a future in which the global economy and the Internet will merge and evolve together into an information economy bustling with billions of economically motivated softw...
Jeffrey O. Kephart, James E. Hanson, Amy R. Greenw...
BIOINFORMATICS
2006
92views more  BIOINFORMATICS 2006»
15 years 2 months ago
What should be expected from feature selection in small-sample settings
Motivation: High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; howev...
Chao Sima, Edward R. Dougherty
ANSS
2004
IEEE
15 years 6 months ago
Cache Simulation Based on Runtime Instrumentation for OpenMP Applications
To enable optimizations in memory access behavior of high performance applications, cache monitoring is a crucial process. Simulation of cache hardware is needed in order to allow...
Jie Tao, Josef Weidendorfer
RIAO
2007
15 years 3 months ago
Comprehensible and Accurate Cluster Labels in Text Clustering
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
Jerzy Stefanowski, Dawid Weiss
CHARME
2003
Springer
100views Hardware» more  CHARME 2003»
15 years 7 months ago
Inductive Assertions and Operational Semantics
This paper shows how classic inductive assertions can be used in conjunction with an operational semantics to prove partial correctness properties of programs. The method imposes o...
J. Strother Moore