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204
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ASIACRYPT
2008
Springer
15 years 9 months ago
Universally Composable Adaptive Oblivious Transfer
In an oblivious transfer (OT) protocol, a Sender with messages M1, . . . , MN and a Receiver with indices 1, . . . , k [1, N] interact in such a way that at the end the Receiver ...
Matthew Green, Susan Hohenberger
CEC
2007
IEEE
16 years 1 months ago
Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
Sergiu Goschin, Eduard Franti, Monica Dascalu, San...
201
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CAMP
2005
IEEE
16 years 15 days ago
Reinforcement Learning for P2P Searching
— For a peer-to-peer (P2P) system holding massive amount of data, an efficient and scalable search for resource sharing is a key determinant to its practical usage. Unstructured...
Luca Gatani, Giuseppe Lo Re, Alfonso Urso, Salvato...
159
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IJON
2007
117views more  IJON 2007»
15 years 6 months ago
Learning sensory representations with intrinsic plasticity
Intrinsic plasticity (IP) refers to a neuron’s ability to regulate its firing activity by adapting its intrinsic excitability. Previously, we showed that model neurons combinin...
Nicholas Butko, Jochen Triesch
NN
2002
Springer
125views Neural Networks» more  NN 2002»
15 years 6 months ago
Generalized relevance learning vector quantization
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...
Barbara Hammer, Thomas Villmann