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» Learning from Logged Implicit Exploration Data
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GECCO
2008
Springer
121views Optimization» more  GECCO 2008»
13 years 9 months ago
Fast rule representation for continuous attributes in genetics-based machine learning
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
Jaume Bacardit, Natalio Krasnogor
WWW
2009
ACM
14 years 9 months ago
Enhancing diversity, coverage and balance for summarization through structure learning
Document summarization plays an increasingly important role with the exponential growth of documents on the Web. Many supervised and unsupervised approaches have been proposed to ...
Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Y...
HT
2009
ACM
14 years 3 months ago
Hyperincident connected components of tagging networks
Data created by social bookmarking systems can be described as 3-partite 3-uniform hypergraphs connecting documents, users, and tags (tagging networks), such that the toolbox of c...
Nicolas Neubauer, Klaus Obermayer
ISSRE
2010
IEEE
13 years 7 months ago
A Large-Scale Industrial Case Study on Architecture-Based Software Reliability Analysis
—Architecture-based software reliability analysis methods shall help software architects to identify critical software components and to quantify their influence on the system r...
Heiko Koziolek, Bastian Schlich, Carlos G. Bilich
ICDM
2006
IEEE
214views Data Mining» more  ICDM 2006»
14 years 2 months ago
Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently however, we have been approached by Texas Commiss...
Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, X...