170 search results - page 24 / 34 » Learning Functional Dependency Networks Based on Genetic Pro... |
AEI
1999
13 years 8 months ago
1999
Design synthesis represents a highly complex task in the field of industrial design. The main difficulty in automating it is the definition of the design and performance spaces, i...
JMLR
2012
11 years 11 months ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
ISMIR
2004
Springer
14 years 2 months ago
2004
Springer
High-Level music descriptors are key ingredients for music information retrieval systems. Although there is a long tradition in extracting information from acoustic signals, the f...
ICPR
2000
IEEE
14 years 9 months ago
2000
IEEE
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
IEEEPACT
2008
IEEE
14 years 3 months ago
2008
IEEE
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...