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» Optimizing Feature Sets for Structured Data
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ICPR
2006
IEEE
15 years 11 months ago
Linear model combining by optimizing the Area under the ROC curve
In some classification problems, like the detection of illnesses in patients, classes are very unbalanced and the misclassification costs for different classes vary significantly....
David M. J. Tax, Robert P. W. Duin
JMLR
2010
125views more  JMLR 2010»
14 years 4 months ago
Variational Relevance Vector Machine for Tabular Data
We adopt the Relevance Vector Machine (RVM) framework to handle cases of tablestructured data such as image blocks and image descriptors. This is achieved by coupling the regulari...
Dmitry Kropotov, Dmitry Vetrov, Lior Wolf, Tal Has...
JMLR
2010
155views more  JMLR 2010»
14 years 4 months ago
Structured Sparse Principal Component Analysis
We present an extension of sparse PCA, or sparse dictionary learning, where the sparsity patterns of all dictionary elements are structured and constrained to belong to a prespeci...
Rodolphe Jenatton, Guillaume Obozinski, Francis Ba...
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
15 years 4 months ago
Finding critical backbone structures with genetic algorithms
This paper introduces the concept of a critical backbone as a minimal set of variables or part of the solution necessary to be within the basin of attraction of the global optimum...
Adam Prügel-Bennett
COLING
2010
14 years 4 months ago
Exploiting Structured Ontology to Organize Scattered Online Opinions
We study the problem of integrating scattered online opinions. For this purpose, we propose to exploit structured ontology to obtain well-formed relevant aspects to a topic and us...
Yue Lu, Huizhong Duan, Hongning Wang, ChengXiang Z...