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» Feature selection based on the training set manipulation
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ICASSP
2011
IEEE
13 years 12 days ago
Collaborative sources identification in mixed signals via hierarchical sparse modeling
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...
Pablo Sprechmann, Ignacio Ramírez, Pablo Ca...
JMLR
2010
206views more  JMLR 2010»
13 years 3 months ago
Learning Translation Invariant Kernels for Classification
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
Sayed Kamaledin Ghiasi Shirazi, Reza Safabakhsh, M...
DASFAA
2009
IEEE
195views Database» more  DASFAA 2009»
14 years 3 months ago
The XMLBench Project: Comparison of Fast, Multi-platform XML libraries
The XML technologies have brought a lot of new ideas and abilities in the field of information management systems. Nowadays, XML is used almost everywhere: from small configurati...
Suren Chilingaryan
KES
2008
Springer
13 years 8 months ago
Classification and Retrieval through Semantic Kernels
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
ASE
2010
86views more  ASE 2010»
13 years 8 months ago
Stable rankings for different effort models
There exists a large and growing number of proposed estimation methods but little conclusive evidence ranking one method over another. Prior effort estimation studies suffered fro...
Tim Menzies, Omid Jalali, Jairus Hihn, Daniel Bake...