1025 search results - page 82 / 205 » Constraint Programming for Data Mining and Machine Learning |
158
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ICMLA
2009
15 years 1 months ago
2009
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
127
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
There are well known algorithms for learning the structure of directed and undirected graphical models from data, but nearly all assume that the data consists of a single i.i.d. s...
133
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CIKM
2009
Springer
15 years 10 months ago
2009
Springer
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
121
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ASAP
1997
IEEE
15 years 7 months ago
1997
IEEE
This paper presents a technique to map automatically a complete digital signal processing (DSP) application onto a parallel machine with distributed memory. Unlike other applicati...
128
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KDD
2010
ACM
15 years 5 months ago
2010
ACM
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...