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» Consequences of Variability in Classifier Performance Estima...
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HPCA
2003
IEEE
14 years 6 months ago
A Statistically Rigorous Approach for Improving Simulation Methodology
Due to cost, time, and flexibility constraints, simulators are often used to explore the design space when developing a new processor architecture, as well as when evaluating the ...
Joshua J. Yi, David J. Lilja, Douglas M. Hawkins
ICDM
2010
IEEE
115views Data Mining» more  ICDM 2010»
13 years 3 months ago
Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times
Classification of items taken from data streams requires algorithms that operate in time sensitive and computationally constrained environments. Often, the available time for class...
Jin Shieh, Eamonn J. Keogh
EJIS
2010
52views more  EJIS 2010»
13 years 5 months ago
Same technology, different outcome? Reinterpreting Barley's Technology as an Occasion for Structuring
In the last few decades, several studies have found the same technology implemented in highly similar organizational settings to be associated with very different consequences for...
Starling David Hunter III
BMCBI
2008
98views more  BMCBI 2008»
13 years 5 months ago
Empirical Bayes models for multiple probe type microarrays at the probe level
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
Magnus Åstrand, Petter Mostad, Mats Rudemo
GECCO
2006
Springer
195views Optimization» more  GECCO 2006»
13 years 9 months ago
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
Martin V. Butz, Martin Pelikan