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IJCAI
2003
14 years 11 months ago
A Bayesian Approach to Imitation in Reinforcement Learning
In multiagent environments, forms of social learning such as teaching and imitation have been shown to aid the transfer of knowledge from experts to learners in reinforcement lear...
Bob Price, Craig Boutilier
TNN
2010
205views Management» more  TNN 2010»
14 years 4 months ago
Behavior-constrained support vector machines for fMRI data analysis
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu
ICIP
2007
IEEE
15 years 11 months ago
New Features to Identify Computer Generated Images
Discrimination of computer generated images from real images is becoming more and more important. In this paper, we propose the use of new features to distinguish computer generat...
Ahmet Emir Dirik, Sevinc Bayram, Husrev T. Sencar,...
AAAI
2008
15 years 9 days ago
Integrating Multiple Learning Components through Markov Logic
This paper addresses the question of how statistical learning algorithms can be integrated into a larger AI system both from a practical engineering perspective and from the persp...
Thomas G. Dietterich, Xinlong Bao
GLOBECOM
2008
IEEE
15 years 4 months ago
On Base Station Cooperation Schemes for Downlink Network MIMO under a Constrained Backhaul
— Next generation mobile comunications systems will most likely employ multi-cell cooperative signal processing schemes, often referred to as network MIMO, as these are known to ...
Patrick Marsch, Gerhard Fettweis