598 search results - page 40 / 120 » Learning Generative Models with the Up-Propagation Algorithm |
ADMA
2006
Springer
14 years 22 days ago
2006
Springer
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
SIGIR
2010
ACM
14 years 26 days ago
2010
ACM
We use Wikipedia articles to semantically inform the generation of query models. To this end, we apply supervised machine learning to automatically link queries to Wikipedia artic...
ACL
2012
11 years 11 months ago
2012
We present a novel algorithm for multilingual dependency parsing that uses annotations from a diverse set of source languages to parse a new unannotated language. Our motivation i...
CEC
2007
IEEE
14 years 3 months ago
2007
IEEE
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
AAAI
2007
13 years 11 months ago
2007
The goal of our current research is machine learning with the help and guidance of a knowledge base (KB). Rather than learning numerical models, our approach generates explicit sy...