4196 search results - page 85 / 840 » Unsupervised Learning of Relations |
112
Voted
SOCIALCOM
2010
14 years 10 months ago
2010
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
126
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
This paper applies affinity propagation (AP) to develop distributed solutions for routing over networks. AP is a message passing algorithm for unsupervised learning. This paper d...
106
Voted
IDA
2001
Springer
15 years 5 months ago
2001
Springer
Abstract. We propose a new unsupervised training method for acquiring probability models that accurately segment Chinese character sequences into words. By constructing a core lexi...
107
click to vote
CORR
2002
Springer
15 years 14 days ago
2002
Springer
This paper describes the results of some experiments exploring statistical methods to infer syntactic categories from a raw corpus in an unsupervised fashion. It shares certain po...
130
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IDA
2006
Springer
15 years 20 days ago
2006
Springer
We introduce in this paper a generalization of the widely used hidden Markov models (HMM's), which we name "structural hidden Markov models" (SHMM). Our approach is ...