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» Constraint Programming for Data Mining and Machine Learning
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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 5 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
15 years 5 months ago
Overlapping experiment infrastructure: more, better, faster experimentation
At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-...
Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike ...
MLDM
2005
Springer
15 years 7 months ago
Supervised Evaluation of Dataset Partitions: Advantages and Practice
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
Sylvain Ferrandiz, Marc Boullé
114
Voted
SIGIR
2003
ACM
15 years 7 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
104
Voted
FLAIRS
2007
15 years 4 months ago
Finding Data, Knowledge, and Answers on the Semantic Web
Web search engines like Google have made us all smarter by providing ready access to the world's knowledge whenever we need to look up a fact, learn about a topic or evaluate...
Timothy W. Finin, Joel Sachs, Cynthia Sims Parr