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DAGM
2008
Springer
14 years 11 months ago
An Evolutionary Approach for Learning Motion Class Patterns
This article presents a genetic learning algorithm to derive discrete patterns that can be used for classification and retrieval of 3D motion capture data. Based on boolean motion ...
Meinard Müller, Bastian Demuth, Bodo Rosenhah...
BMCBI
2007
164views more  BMCBI 2007»
14 years 9 months ago
Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
Background: The regulation of gene expression is achieved through gene regulatory networks (GRNs) in which collections of genes interact with one another and other substances in a...
Peng Li, Chaoyang Zhang, Edward J. Perkins, Ping G...
COLT
1999
Springer
15 years 2 months ago
On the Intrinsic Complexity of Learning Recursive Functions
Efim B. Kinber, Christophe Papazian, Carl H. Smith...
COLT
1993
Springer
15 years 1 months ago
On the Complexity of Function Learning
Peter Auer, Philip M. Long, Wolfgang Maass, Gerhar...
COLT
2008
Springer
14 years 11 months ago
Improved Guarantees for Learning via Similarity Functions
Maria-Florina Balcan, Avrim Blum, Nathan Srebro