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193
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VLDB
2006
ACM
16 years 24 days ago
2006
ACM
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
116
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MCS
2010
Springer
15 years 7 months ago
2010
Springer
One of the challenges in unsupervised machine learning is finding the number of clusters in a dataset. Clustering Validity Indices (CVI) are popular tools used to address this pro...
103
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ICONIP
1998
15 years 1 months ago
1998
This paper describes the implementation of a system that reminds the user of the telephone number of a given list, even if the user only remembers part of it, or if the given numb...
115
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ICA
2010
Springer
15 years 1 months ago
2010
Springer
Independent Component Analysis is the best known method for solving blind source separation problems. In general, the number of sources must be known in advance. In many cases, pre...
98
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PPSN
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. While traditional approaches to machine learning are sensitive to highdimensional state and action spaces, this paper demonstrates how an indirectly encoded neurocontroll...