1601 search results - page 29 / 321 » Learning Gaussian processes from multiple tasks |
124
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COLT
2008
Springer
15 years 5 months ago
2008
Springer
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
COLING
2008
15 years 4 months ago
2008
In this paper we describe an empirical study of human-human multi-tasking dialogues (MTD), where people perform multiple verbal tasks overlapped in time. We examined how conversan...
130
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ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
125
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...
107
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KCAP
2005
ACM
15 years 8 months ago
2005
ACM
Extensive and deep paraphrase corpora are important for a variety of natural language processing and user interaction tasks. In this paper, we present an approach which i) collect...