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ICML
2010
IEEE
15 years 2 months ago
Constructing States for Reinforcement Learning
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
M. M. Hassan Mahmud
MICCAI
2010
Springer
15 years 2 months ago
Synthetic MRI Signal Standardization: Application to Multi-atlas Analysis
From the image analysis perspective, a disadvantage of MRI is the lack of image intensity standardization. Differences in coil sensitivity, pulse sequence and acquisition parameter...
Juan Eugenio Iglesias, Ivo D. Dinov, Jaskaran Sing...
MOBILIGHT
2010
15 years 2 months ago
CogProt: A Framework for Cognitive Configuration and Optimization of Communication Protocols
Advancements in network technologies dramatically increased management complexity. Cognitive networking was introduced to deal with this problem, by providing algorithms for autono...
Dzmitry Kliazovich, Neumar Malheiros, Nelson L. S....
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ACL
2009
15 years 1 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
CEC
2009
IEEE
15 years 1 months ago
Optimisation of the Beer Distribution Game with complex customer demand patterns
This paper examines a simulation of the Beer Distribution Game and a number of optimisation approaches to this game. This well known game was developed at MIT in the 1960s and has ...
Hongliang Liu, Enda Howley, Jim Duggan