1034 search results - page 58 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
ACL
1998
14 years 11 months ago
1998
We describe a trainable and scalable summarization system which utilizes features derived from information retrieval, information extraction, and NLP techniques and on-line resour...
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
The problem of coalition formation when agents are uncertain about the types or capabilities of their potential partners is a critical one. In [3] a Bayesian reinforcement learnin...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs ...
ACL
2003
14 years 11 months ago
2003
Often, the training procedure for statistical machine translation models is based on maximum likelihood or related criteria. A general problem of this approach is that there is on...