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AI
2007
Springer
16 years 26 days ago
Competition and Coordination in Stochastic Games
Agent competition and coordination are two classical and most important tasks in multiagent systems. In recent years, there was a number of learning algorithms proposed to resolve ...
Andriy Burkov, Abdeslam Boularias, Brahim Chaib-dr...
AAAI
2006
15 years 8 months ago
Efficient L1 Regularized Logistic Regression
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
ICIP
2005
IEEE
16 years 8 months ago
Asymmetric multi-phase deformable model for colon segmentation
In virtual colonography, precise segmentation is essential for accurate diagnosis. For the segmentation of colon wall, we propose a novel multi-phase deformable model using a leve...
Yong Seok Yoo, Kyoung Mu Lee, Il Dong Yun, Sang Uk...
ICIP
1995
IEEE
16 years 8 months ago
A new method for camera motion parameter estimation
We derive a six parameter system to estimate and compensate the effects of camera motion - zoom, pan, tilt and swing. As compared to other existing methods, this model describes m...
Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadg...
ICML
1996
IEEE
16 years 7 months ago
Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning
Research in reinforcementlearning (RL)has thus far concentrated on two optimality criteria: the discounted framework, which has been very well-studied, and the averagereward frame...
Sridhar Mahadevan