4773 search results - page 278 / 955 » Learning from Uncertain Data |
155
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SDM
2008
SIAM
15 years 6 months ago
2008
SIAM
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
265
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ISNN
2011
Springer
14 years 8 months ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
137
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ICPR
2010
IEEE
16 years 2 days ago
2010
IEEE
We propose a learning method for gait synthesis from a sequence of shapes(frames) with the ability to extrapolate to novel data. It involves the application of PCA, first to redu...
131
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ICDM
2005
IEEE
15 years 10 months ago
2005
IEEE
Many practical applications require that distance measures to be asymmetric and context-sensitive. We introduce Context-sensitive Learnable Asymmetric Dissimilarity (CLAD) measure...
160
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ACL
2012
13 years 7 months ago
2012
In this paper, we address the issue for learning better translation consensus in machine translation (MT) research, and explore the search of translation consensus from similar, r...