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» The Characterization of Data-Accumulating Algorithms
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SBIA
2004
Springer
15 years 3 months ago
Heuristically Accelerated Q-Learning: A New Approach to Speed Up Reinforcement Learning
This work presents a new algorithm, called Heuristically Accelerated Q–Learning (HAQL), that allows the use of heuristics to speed up the well-known Reinforcement Learning algori...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...
ECAI
2008
Springer
14 years 11 months ago
Online Rule Learning via Weighted Model Counting
Online multiplicative weight-update learning algorithms, such as Winnow, have proven to behave remarkably for learning simple disjunctions with few relevant attributes. The aim of ...
Frédéric Koriche
JACM
2006
92views more  JACM 2006»
14 years 10 months ago
The generalized two-server problem
We consider the generalized on-line two-server problem in which at each step each server receives a request, which is a point in a metric space. One of the servers has to be moved ...
René A. Sitters, Leen Stougie
ASIACRYPT
2011
Springer
13 years 10 months ago
The Leakage-Resilience Limit of a Computational Problem Is Equal to Its Unpredictability Entropy
A cryptographic assumption is the (unproven) mathematical statement that a certain computational problem (e.g. factoring integers) is computationally hard. The leakage-resilience l...
Divesh Aggarwal, Ueli Maurer
ISBI
2006
IEEE
15 years 10 months ago
Thick slice interpolation using reverse anisotropic diffusion to reduce partial volume effect
We are investigating methods to reduce partial volume effect (PVE) in medical images acquired as a series of thick slices, in particular Magnetic Resonance Imaging (MRI) of the hu...
Olivier Salvado, David L. Wilson