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» On Learning with Integral Operators
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JMLR
2010
125views more  JMLR 2010»
15 years 1 months ago
On utility of gene set signatures in gene expression-based cancer class prediction
Machine learning methods that can use additional knowledge in their inference process are central to the development of integrative bioinformatics. Inclusion of background knowled...
Minca Mramor, Marko Toplak, Gregor Leban, Tomaz Cu...
TROB
2010
159views more  TROB 2010»
15 years 1 months ago
Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
Ales Ude, Andrej Gams, Tamim Asfour, Jun Morimoto
346
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IPMI
2011
Springer
14 years 10 months ago
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Bernard Ng, Rafeef Abugharbieh
CVPR
2010
IEEE
16 years 2 months ago
Spatialized Epitome and Its Applications
Due to the lack of explicit spatial consideration, existing epitome model may fail for image recognition and target detection, which directly motivates us to propose the so-calle...
Xinqi Chu, Shuicheng Yan, Liyuan Li, Kap Luk Chan,...
239
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SIGCSE
2012
ACM
513views Education» more  SIGCSE 2012»
14 years 2 months ago
Calico: a multi-programming-language, multi-context framework designed for computer science education
The Calico project is a multi-language, multi-context programming framework and learning environment for computing education. This environment is designed to support several inter...
Douglas S. Blank, Jennifer S. Kay, James B. Marsha...