403 search results - page 66 / 81 » Metric and Kernel Learning Using a Linear Transformation |
PKDD
2009
Springer
15 years 8 months ago
2009
Springer
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
130
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
109
Voted
IPPS
2007
IEEE
15 years 8 months ago
2007
IEEE
The excessive complexity of both machine architectures and applications have made it difficult for compilers to statically model and predict application behavior. This observatio...
194
click to vote
Book
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
117
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ICCV
2007
IEEE
16 years 3 months ago
2007
IEEE
Regression analysis is a powerful tool for the study of changes in a dependent variable as a function of an independent regressor variable, and in particular it is applicable to t...