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LAMAS
2005
Springer
16 years 5 days ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
DELOS
2000
15 years 8 months ago
Using the Wavelet Transform to Learn from User Feedback
User feedback has proven very successful to query large multimedia databases. Due to the nature of the data representation and the mismatch between mathematical models and human p...
Ilaria Bartolini, Paolo Ciaccia, Florian Waas
CRYPTO
2012
Springer
277views Cryptology» more  CRYPTO 2012»
13 years 9 months ago
Multiparty Computation from Somewhat Homomorphic Encryption
We propose a general multiparty computation protocol secure against an active adversary corrupting up to n−1 of the n players. The protocol may be used to compute securely arithm...
Ivan Damgård, Valerio Pastro, Nigel P. Smart...
ACL
2010
15 years 4 months ago
Learning to Translate with Source and Target Syntax
Statistical translation models that try to capture the recursive structure of language have been widely adopted over the last few years. These models make use of varying amounts o...
David Chiang
JMLR
2012
13 years 9 months ago
A metric learning perspective of SVM: on the relation of LMNN and SVM
Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...
Huyen Do, Alexandros Kalousis, Jun Wang, Adam Wozn...