9886 search results - page 224 / 1978 » Learning Compressible Models |
134
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ACL
1994
15 years 5 months ago
1994
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
145
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ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
130
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ICA
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
131
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ALT
2008
Springer
16 years 23 days ago
2008
Springer
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
119
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GECCO
2004
Springer
15 years 9 months ago
2004
Springer
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...