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NECO
2010
103views more  NECO 2010»
13 years 8 months ago
Posterior Weighted Reinforcement Learning with State Uncertainty
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...
Tobias Larsen, David S. Leslie, Edmund J. Collins,...
NECO
2010
154views more  NECO 2010»
13 years 8 months ago
Role of Homeostasis in Learning Sparse Representations
Neurons in the input layer of primary visual cortex in primates develop edge-like receptive fields. One approach to understanding the emergence of this response is to state that ...
Laurent U. Perrinet
NLE
2010
100views more  NLE 2010»
13 years 8 months ago
Formal and functional assessment of the pyramid method for summary content evaluation
Pyramid annotation makes it possible to evaluate quantitatively and qualitatively the content of machine-generated (or human) summaries. Evaluation methods must prove themselves a...
Rebecca J. Passonneau
NN
2010
Springer
143views Neural Networks» more  NN 2010»
13 years 8 months ago
Neural network model for completing occluded contours
— This paper proposes a neural network model capable of completing partly occluded contours. The model is a hierarchical multi-layered network. Using the responses of bend-extrac...
Kunihiko Fukushima
OOPSLA
2010
Springer
13 years 8 months ago
Hera-JVM: a runtime system for heterogeneous multi-core architectures
Heterogeneous multi-core processors, such as the IBM Cell processor, can deliver high performance. However, these processors are notoriously difficult to program: different cores...
Ross McIlroy, Joe Sventek
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