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ICML
2007
IEEE
14 years 8 months ago
Uncovering shared structures in multiclass classification
This paper suggests a method for multiclass learning with many classes by simultaneously learning shared characteristics common to the classes, and predictors for the classes in t...
Yonatan Amit, Michael Fink 0002, Nathan Srebro, Sh...
ICML
2006
IEEE
14 years 8 months ago
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuille...
IJCAI
2001
13 years 9 months ago
Active Learning for Structure in Bayesian Networks
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Simon Tong, Daphne Koller
ICML
2005
IEEE
14 years 8 months ago
Learning structured prediction models: a large margin approach
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...