1407 search results - page 145 / 282 » Learning Abstract Scheduling Models |
153
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IJCNN
2006
IEEE
15 years 11 months ago
2006
IEEE
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
172
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PKDD
2004
Springer
15 years 10 months ago
2004
Springer
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...
141
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ESSMAC
2003
Springer
15 years 10 months ago
2003
Springer
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
174
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ADMI
2010
Springer
15 years 6 months ago
2010
Springer
Abstract. We present a method for learning characteristic motion patterns of mobile agents. The method works on two levels. On the first level, it uses the expectation-maximization...
166
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ACL
2010
15 years 3 months ago
2010
Scoring sentences in documents given abstract summaries created by humans is important in extractive multi-document summarization. In this paper, we formulate extractive summariza...