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169
Voted
IPMI
2005
Springer
16 years 7 months ago
2005
Springer
We address the problem of the segmentation of cerebral white matter structures from diffusion tensor images. Our approach is grounded on the theoretically well-founded differential...
204
Voted
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
232
Voted
ICML
1995
IEEE
16 years 7 months ago
1995
IEEE
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...
338
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POPL
2009
ACM
16 years 7 months ago
2009
ACM
Memory models define an interface between programs written in some language and their implementation, determining which behaviour the memory (and thus a program) is allowed to hav...
207
Voted
KDD
2004
ACM
16 years 7 months ago
2004
ACM
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...