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» Ensemble Methods in Machine Learning
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119
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ICML
2006
IEEE
16 years 4 months ago
Totally corrective boosting algorithms that maximize the margin
We consider boosting algorithms that maintain a distribution over a set of examples. At each iteration a weak hypothesis is received and the distribution is updated. We motivate t...
Gunnar Rätsch, Jun Liao, Manfred K. Warmuth
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 4 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
143
Voted
ATAL
2005
Springer
15 years 9 months ago
Coordinating multiple rovers with interdependent science objectives
This paper describes an integrated system for coordinating multiple rover behavior with the overall goal of collecting planetary surface data. The MISUS system combines techniques...
Tara A. Estlin, Daniel M. Gaines, Forest Fisher, R...
134
Voted
ESSOS
2010
Springer
16 years 15 days ago
Idea: Opcode-Sequence-Based Malware Detection
Malware is every malicious code that has the potential to harm any computer or network. The amount of malware is increasing faster every year and poses a serious security threat. H...
Igor Santos, Felix Brezo, Javier Nieves, Yoseba K....
129
Voted
IV
2007
IEEE
144views Visualization» more  IV 2007»
15 years 10 months ago
Evaluating an InfoVis Technique Using Insight Reports
The evaluation of Information Visualization (InfoVis) techniques can help to identify specific strengths and weaknesses of these methods. The following article describes the resu...
Markus Rester, Margit Pohl, Sylvia Wiltner, Klaus ...