3276 search results - page 313 / 656 » Data learning based diagnosis |
184
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MLDM
2005
Springer
16 years 7 days ago
2005
Springer
In this paper we describe a new cluster model which is based on the concept of linear manifolds. The method identifies subsets of the data which are embedded in arbitrary oriented...
141
Voted
AMDO
2008
Springer
15 years 8 months ago
2008
Springer
The main focus of this paper is to present a method of reusing motion captured data by learning a generative model of motion. The model allows synthesis and blending of cyclic moti...
175
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PKDD
2009
Springer
16 years 1 months ago
2009
Springer
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
211
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ICMLA
2003
15 years 8 months ago
2003
– Discretization is a process of converting a continuous attribute into an attribute that contains small number of distinct values. One of the major reasons for discretizing an a...
192
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UAI
2000
15 years 8 months ago
2000
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...