702 search results - page 49 / 141 » Learning Probabilistic Models of Relational Structure |
98
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ICML
2009
IEEE
16 years 1 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...
120
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GECCO
2009
Springer
15 years 5 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...
118
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IJCAI
2001
15 years 1 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...
99
Voted
EMNLP
2009
14 years 10 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 ...
116
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DIS
2010
Springer
14 years 11 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...