1364 search results - page 56 / 273 » Sampling Methods for Unsupervised Learning |
109
Voted
IEEECIT
2010
IEEE
15 years 27 days ago
2010
IEEE
—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
102
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RTCSA
2007
IEEE
15 years 8 months ago
2007
IEEE
Activity recognition is a hot topic in context-aware computing. In activity recognition, machine learning techniques have been widely applied to learn the activity models from lab...
129
Voted
ICML
2003
IEEE
15 years 7 months ago
2003
IEEE
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
135
Voted
WWW
2008
ACM
16 years 3 months ago
2008
ACM
In this paper, we propose a novel unsupervised approach to query segmentation, an important task in Web search. We use a generative query model to recover a query's underlyin...
122
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NAACL
2007
15 years 3 months ago
2007
In the past, NLP has always been based on the explicit or implicit use of linguistic knowledge. In classical computer linguistic applications explicit rule based approaches prevai...