1364 search results - page 51 / 273 » Sampling Methods for Unsupervised Learning |
104
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UAI
2003
15 years 3 months ago
2003
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
106
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
159
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MM
2010
ACM
15 years 2 months ago
2010
ACM
This paper proposes a new framework to formulate the problem of rushes video summarization as an unsupervised learning problem. We pose the problem of video summarization as one o...
127
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CLEF
2009
Springer
15 years 3 months ago
2009
Springer
This paper investigates a novel approach to unsupervised morphology induction relying on community detection in networks. In a first step, morphological transformation rules are a...
113
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ECML
2007
Springer
15 years 8 months ago
2007
Springer
We extend our recent work on relevant subtask learning, a new variant of multitask learning where the goal is to learn a good classifier for a task-of-interest with too few train...