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ICML
2010
IEEE
15 years 7 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
AEI
1998
98views more  AEI 1998»
15 years 6 months ago
Function-directed electrical design analysis
Functional labels provide a simple but very reusable way for defining the functionality of a system and for making use of that knowledge. Unlike more complex functional representa...
Chris J. Price
ENTCS
2007
85views more  ENTCS 2007»
15 years 6 months ago
Inducing Constructor Systems from Example-Terms by Detecting Syntactical Regularities
We present a technique for inducing functional programs from few, well chosen input/output-examples (I/Oexamples). Potential applications for automatic program or algorithm induct...
Emanuel Kitzelmann, Ute Schmid
MICCAI
2006
Springer
16 years 7 months ago
A New Cortical Surface Parcellation Model and Its Automatic Implementation
In this paper, we present an original method that aims at parcellating the cortical surface in regions functionally meaningful, from individual anatomy. The parcellation is obtaine...
Cédric Clouchoux, Olivier Coulon, Jean-Luc ...
149
Voted
DIS
2001
Springer
15 years 11 months ago
Towards a Method of Searching a Diverse Theory Space for Scientific Discovery
Scientists need customizable tools to help them with discovery. We present an adjustable heuristic function for scientific discovery. This function may be considered in either a Mi...
Joseph Phillips