3145 search results - page 518 / 629 » A Computational Psycholinguistic Model of Natural Language P... |
SDM
2008
SIAM
13 years 10 months ago
2008
SIAM
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
ACL
2009
13 years 6 months ago
2009
Supervised sequence-labeling systems in natural language processing often suffer from data sparsity because they use word types as features in their prediction tasks. Consequently...
HCI
2009
13 years 6 months ago
2009
The design and implementation of systems that combine both the utilities of the digital world as well as intrinsic affordances of traditional artifacts are challenging. In this pap...
AAAI
2011
12 years 9 months ago
2011
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
EUROPAR
2011
Springer
12 years 8 months ago
2011
Springer
Most applications manipulate structured data. Modern languages and platforms provide collection frameworks with basic data structures like lists, hashtables and trees. These data ...