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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
ENTCS
2008
130views more  ENTCS 2008»
13 years 9 months ago
The SPARTA Pseudonym and Authorization System
This paper deals with privacy-preserving (pseudonymized) access to a service resource. In such a scenario, two opposite needs seem to emerge. On one side, the service provider may...
Giuseppe Bianchi, M. Bonola, Vincenzo Falletta, Fr...
CORR
2007
Springer
107views Education» more  CORR 2007»
13 years 9 months ago
Risk Minimization and Optimal Derivative Design in a Principal Agent Game
We consider the problem of Adverse Selection and optimal derivative design within a Principal-Agent framework. The principal’s income is exposed to non-hedgeable risk factors ar...
U. Horst, S. Moreno
FGCS
2007
86views more  FGCS 2007»
13 years 9 months ago
A grid-based approach for enterprise-scale data mining
Abstract— We describe a grid-based approach for enterprisescale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute para...
Ramesh Natarajan, Radu Sion, Thomas Phan
NN
2006
Springer
13 years 9 months ago
Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: App
This paper presents a new development of the NeuroVaria method. NeuroVaria computes relevant atmospheric and oceanic parameters by minimizing the difference between the observed s...
Julien Brajard, Cédric Jamet, Cyril Moulin,...