702 search results - page 49 / 141 » Learning Probabilistic Models of Relational Structure |
136
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...
158
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GECCO
2009
Springer
15 years 9 months ago
2009
Springer
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
158
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IJCAI
2001
15 years 6 months ago
2001
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
142
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EMNLP
2009
15 years 2 months ago
2009
This paper describes an empirical study of high-performance dependency parsers based on a semi-supervised learning approach. We describe an extension of semisupervised structured ...
159
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DIS
2010
Springer
15 years 3 months ago
2010
Springer
Quantitative structure-activity relationships (QSARs) are regression models relating chemical structure to biological activity. Such models allow to make predictions for toxicologi...