4773 search results - page 243 / 955 » Learning from Uncertain Data |
154
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ICASSP
2010
IEEE
15 years 5 months ago
2010
IEEE
We propose an ℓ1 criterion for dictionary learning for sparse signal representation. Instead of directly searching for the dictionary vectors, our dictionary learning approach i...
145
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AUSAI
2006
Springer
15 years 8 months ago
2006
Springer
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
159
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ESANN
2006
15 years 6 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
133
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PKDD
2010
Springer
15 years 2 months ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
233
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CVPR
2012
IEEE
13 years 10 months ago
2012
IEEE
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...