3837 search results - page 670 / 768 » Learning Approximate Consistencies |
179
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NIPS
2008
15 years 5 months ago
2008
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
127
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LWA
2007
15 years 5 months ago
2007
Knowledge Management (KM) and E-Learning (EL) applications interface more and more as their objects of concern consist in ’captured knowledge’ resp. ’learning objects’, i....
144
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SDM
2008
SIAM
15 years 5 months ago
2008
SIAM
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
136
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NIPS
2007
15 years 5 months ago
2007
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
158
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NIPS
2007
15 years 5 months ago
2007
A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...