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» On the Complexity of Function Learning
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TSMC
2011
258views more  TSMC 2011»
14 years 11 months ago
Cross-Entropy Optimization of Control Policies With Adaptive Basis Functions
—This paper introduces an algorithm for direct search of control policies in continuous-state discrete-action Markov decision processes. The algorithm looks for the best closed-l...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
SIAMREV
2010
170views more  SIAMREV 2010»
14 years 11 months ago
Network Properties Revealed through Matrix Functions
The newly emerging field of Network Science deals with the tasks of modelling, comparing and summarizing large data sets that describe complex interactions. Because pairwise affin...
Ernesto Estrada, Desmond J. Higham
ISBI
2011
IEEE
14 years 8 months ago
TDF-TRACT: Probabilistic tractography using the tensor distribution function
Fractional anisotropy (FA), a widely used measure of fiber integrity based on diffusion tensor imaging (DTI), is theoretically confounded by several other quantities including the...
J. J. GadElkarim, Liang Zhan, S. L. Yang, A. F. Zh...
CVPR
2008
IEEE
16 years 6 months ago
Learning and using taxonomies for fast visual categorization
The computational complexity of current visual categorization algorithms scales linearly at best with the number of categories. The goal of classifying simultaneously Ncat = 104 -...
Gregory Griffin, Darya Perona
ICFCA
2005
Springer
15 years 10 months ago
Lessons Learned in Applying Formal Concept Analysis to Reverse Engineering
A key difficulty in the maintenance and evolution of complex software systems is to recognize and understand the implicit dependencies that define contracts that must be respecte...
Gabriela Arévalo, Stéphane Ducasse, ...