566 search results - page 56 / 114 » Approximation Spaces in Machine Learning and Pattern Recogni... |
134
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KDD
2004
ACM
16 years 3 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
142
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NPL
2006
15 years 3 months ago
2006
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
124
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CSB
2004
IEEE
15 years 7 months ago
2004
IEEE
Feature selection and weighting are central problems in pattern recognition and instance-based learning. In this work, we discuss the challenges of constructing and weighting feat...
126
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ROMAN
2007
IEEE
15 years 9 months ago
2007
IEEE
Abstract— This paper describes a novel algorithm for autonomous and incremental learning of motion pattern primitives by observation of human motion. Human motion patterns are ed...
134
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COLT
2003
Springer
15 years 8 months ago
2003
Springer
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...