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» A New Discriminative Kernel From Probabilistic Models
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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 1 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
ECSQARU
2005
Springer
15 years 3 months ago
Conditional Deduction Under Uncertainty
Conditional deduction in binary logic basically consists of deriving new statements from an existing set of statements and conditional rules. Modus Ponens, which is the classical e...
Audun Jøsang, Simon Pope, Milan Daniel
ICDM
2008
IEEE
80views Data Mining» more  ICDM 2008»
15 years 4 months ago
Collective Latent Dirichlet Allocation
In this paper, we propose a new variant of Latent Dirichlet Allocation(LDA): Collective LDA (C-LDA), for multiple corpora modeling. C-LDA combines multiple corpora during learning...
Zhiyong Shen, Jun Sun, Yi-Dong Shen
ICMCS
2009
IEEE
93views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Learning based thumbnail cropping
Thumbnail cropping helps improve thumbnail readability by cropping images before shrinking them. In this paper we propose a learning based method for automatic thumbnail cropping....
Xin Li, Haibin Ling
MICCAI
2008
Springer
15 years 11 months ago
Cortical Surface Thickness as a Classifier: Boosting for Autism Classification
We study the problem of classifying an autistic group from controls using structural image data alone, a task that requires a clinical interview with a psychologist. Because of the...
Vikas Singh, Lopamudra Mukherjee, Moo K. Chung