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» Cumulative Residual Entropy, A New Measure of Information
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DIS
2006
Springer
13 years 9 months ago
Change Detection with Kalman Filter and CUSUM
Knowledge discovery systems are constrained by three main limited resources: time, memory and sample size. Sample size is traditionally the dominant limitation, but in many present...
Milton Severo, João Gama
EMNLP
2007
13 years 8 months ago
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
David A. Smith, Jason Eisner
IPPS
2006
IEEE
14 years 1 months ago
An entropy-based algorithm for time-driven software instrumentation in parallel systems
While monitoring, instrumented long running parallel applications generate huge amount of instrumentation data. Processing and storing this data incurs overhead, and perturbs the ...
A. Ozmen
ACMSE
2004
ACM
14 years 25 days ago
Performance evaluation of cache replacement policies for the SPEC CPU2000 benchmark suite
Replacement policy, one of the key factors determining the effectiveness of a cache, becomes even more important with latest technological trends toward highly associative caches....
Hussein Al-Zoubi, Aleksandar Milenkovic, Milena Mi...
SIGIR
2006
ACM
14 years 1 months ago
A framework to predict the quality of answers with non-textual features
New types of document collections are being developed by various web services. The service providers keep track of non-textual features such as click counts. In this paper, we pre...
Jiwoon Jeon, W. Bruce Croft, Joon Ho Lee, Soyeon P...