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ICML
2010
IEEE
13 years 10 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh
IJBC
2006
50views more  IJBC 2006»
13 years 9 months ago
Phenomenology of Reaction-diffusion Binary-State Cellular Automata
We study a binary-cell-states eight-cell neighborhood two-dimensional cellular automaton model of a quasi-chemical system with a substrate and a reagent. Reactions are represented...
Andrew Adamatzky, Genaro Juárez Martí...
TVCG
2008
95views more  TVCG 2008»
13 years 9 months ago
Improving the Readability of Clustered Social Networks using Node Duplication
Exploring communities is an important task in social network analysis. Such communities are currently identified using clustering methods to group actors. This approach often leads...
Nathalie Henry, Anastasia Bezerianos, Jean-Daniel ...
JMLR
2010
129views more  JMLR 2010»
13 years 7 months ago
On Finding Predictors for Arbitrary Families of Processes
The problem is sequence prediction in the following setting. A sequence x1, . . . , xn, . . . of discrete-valued observations is generated according to some unknown probabilistic ...
Daniil Ryabko
CVPR
2011
IEEE
13 years 5 months ago
A Segmentation-aware Object Detection Model with Occlusion Handling
The bounding box representation employed by many popular object detection models [3, 6] implicitly assumes all pixels inside the box belong to the object. This assumption makes th...
Tianshi Gao, Benjamin Packer, Daphne Koller