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» Parameterized Learning Complexity
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ICML
2009
IEEE
16 years 3 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
16 years 3 months ago
Learning complex motions by sequencing simpler motion templates
Gerhard Neumann, Wolfgang Maass, Jan Peters
130
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COLT
1999
Springer
15 years 6 months ago
On the Intrinsic Complexity of Learning Recursive Functions
Efim B. Kinber, Christophe Papazian, Carl H. Smith...
COLT
1993
Springer
15 years 6 months ago
On the Complexity of Function Learning
Peter Auer, Philip M. Long, Wolfgang Maass, Gerhar...
CVPR
2007
IEEE
16 years 4 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