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» Learning with Globally Predictive Tests
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ICML
2007
IEEE
15 years 10 months ago
Exponentiated gradient algorithms for log-linear structured prediction
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
Amir Globerson, Terry Koo, Xavier Carreras, Michae...
67
Voted
ICML
2005
IEEE
15 years 10 months ago
Fast maximum margin matrix factorization for collaborative prediction
Maximum Margin Matrix Factorization (MMMF) was recently suggested (Srebro et al., 2005) as a convex, infinite dimensional alternative to low-rank approximations and standard facto...
Jason D. M. Rennie, Nathan Srebro
63
Voted
COLING
2000
14 years 11 months ago
Local context templates for Chinese constituent boundary prediction
: In this paper, we proposed a shallow syntactic knowledge description: constituent boundary representation and its simple and efficient prediction algorithm, based on different lo...
Qiang Zhou
ICML
2006
IEEE
15 years 10 months ago
Bayesian pattern ranking for move prediction in the game of Go
We investigate the problem of learning to predict moves in the board game of Go from game records of expert players. In particular, we obtain a probability distribution over legal...
David H. Stern, Ralf Herbrich, Thore Graepel
TREC
2001
14 years 11 months ago
Machine Learning Approach for Homepage Finding Task
This paper describes new machine learning approaches to predict the correct homepage in response to a user's homepage finding query. This involves two phases. In the first ph...
Wensi Xi, Edward A. Fox