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NIPS
2008
13 years 10 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
IPM
2011
71views more  IPM 2011»
12 years 12 months ago
Improving semistatic compression via phrase-based modeling
In recent years, new semistatic word-based byte-oriented text compressors, such as Tagged Huffman and those based on Dense Codes, have shown that it is possible to perform fast d...
Nieves R. Brisaboa, Antonio Fariña, Gonzalo...
ISBI
2008
IEEE
14 years 9 months ago
Axonal bouton modeling, detection and distribution analysis for the study of neural circuit organization and plasticity
We propose a novel method for axonal bouton modeling and automated detection in populations of labeled neurons, as well as bouton distribution analysis for the study of neural cir...
Abhay Mavalankar, Amina Chebira, Christina A. Hall...
IDEAS
2008
IEEE
80views Database» more  IDEAS 2008»
14 years 2 months ago
Improved count suffix trees for natural language data
With more and more natural language text stored in databases, handling respective query predicates becomes very important. Optimizing queries with predicates includes (sub)string ...
Guido Sautter, Cristina Abba, Klemens Böhm
CDC
2009
IEEE
173views Control Systems» more  CDC 2009»
14 years 1 months ago
Sequentially updated Probability Collectives
— Multi-agent coordination problems can be cast as distributed optimization tasks. Probability Collectives (PCs) are techniques that deal with such problems in discrete and conti...
Michalis Smyrnakis, David S. Leslie