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EWRL
2008
15 years 8 months ago
Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
Kirill Dyagilev, Shie Mannor, Nahum Shimkin
ALENEX
2008
133views Algorithms» more  ALENEX 2008»
15 years 8 months ago
Comparing Online Learning Algorithms to Stochastic Approaches for the Multi-Period Newsvendor Problem
The multi-period newsvendor problem describes the dilemma of a newspaper salesman--how many paper should he purchase each day to resell, when he doesn't know the demand? We d...
Shawn O'Neil, Amitabh Chaudhary
BILDMED
2008
188views Algorithms» more  BILDMED 2008»
15 years 8 months ago
4D Endocardial Segmentation Using Spatio-temporal Appearance Models and Level Sets
In this paper a framework for the segmentation of cardiac MR image sequences using spatio-temporal appearance models is presented. The method splits the 4D space into 2 separate su...
Karl D. Fritscher, Rainer Schubert
LREC
2008
112views Education» more  LREC 2008»
15 years 8 months ago
Can we Evaluate the Quality of Generated Text?
Evaluating the output of NLG systems is notoriously difficult, and performing assessments of text quality even more so. A range of automated and subject-based approaches to the ev...
David Hardcastle, Donia Scott
EMNLP
2006
15 years 8 months ago
Domain Adaptation with Structural Correspondence Learning
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
John Blitzer, Ryan T. McDonald, Fernando Pereira