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138
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KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 4 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
133
Voted
IJOE
2006
76views more  IJOE 2006»
15 years 3 months ago
Game-based dynamic simulations supporting technical education and training
Educational games may improve learning by taking advantage of the new knowledge and skills of today's students obtained from extensive use of interactive games. This paper des...
Tor Ivar Eikaas, Bjarne A. Foss, Ole K. Solbj&osla...
144
Voted
IICAI
2003
15 years 5 months ago
Machine Learning in Infrastructure Security
Abstract: Democratic societies throughout the world, it appears, are facing a new type of threat dubbed "asymmetric threat." In this new threat environment the world gove...
V. Rao Vemuri
128
Voted
BMCBI
2008
143views more  BMCBI 2008»
15 years 3 months ago
Automatic detection of exonic splicing enhancers (ESEs) using SVMs
Background: Exonic splicing enhancers (ESEs) activate nearby splice sites and promote the inclusion (vs. exclusion) of exons in which they reside, while being a binding site for S...
Britta Mersch, Alexander Gepperth, Sándor S...
133
Voted
ATAL
2009
Springer
15 years 10 months ago
Bounded rationality via recursion
Current trends in model construction in the field of agentbased computational economics base behavior of agents on either game theoretic procedures (e.g. belief learning, fictit...
Maciej Latek, Robert L. Axtell, Bogumil Kaminski