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» Parameterized Learning Complexity
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ICML
2009
IEEE
14 years 10 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...
ICML
2009
IEEE
14 years 10 months ago
Learning complex motions by sequencing simpler motion templates
Gerhard Neumann, Wolfgang Maass, Jan Peters
COLT
1999
Springer
14 years 2 months ago
On the Intrinsic Complexity of Learning Recursive Functions
Efim B. Kinber, Christophe Papazian, Carl H. Smith...
COLT
1993
Springer
14 years 2 months ago
On the Complexity of Function Learning
Peter Auer, Philip M. Long, Wolfgang Maass, Gerhar...
CVPR
2007
IEEE
14 years 12 months ago
Learning Kernel Expansions for Image Classification
Kernel machines (e.g. SVM, KLDA) have shown state-ofthe-art performance in several visual classification tasks. The classification performance of kernel machines greatly depends o...
Fernando De la Torre, Oriol Vinyals