1864 search results - page 66 / 373 » Modeling Classification and Inference Learning |
131
Voted
ECAI
2010
Springer
14 years 10 months ago
2010
Springer
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
CEC
2007
IEEE
15 years 7 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...
98
Voted
AICCSA
2006
IEEE
15 years 2 months ago
2006
IEEE
In this paper we apply a machine learning approach to the problem of estimating the number of defects called Regression via Classification (RvC). RvC initially automatically discr...
106
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
106
Voted
ACL
2012
13 years 3 months ago
2012
This paper uses an unsupervised model of grounded language acquisition to study the role that social cues play in language acquisition. The input to the model consists of (orthogr...