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COLT
2006
Springer
14 years 16 days ago
A Randomized Online Learning Algorithm for Better Variance Control
We propose a sequential randomized algorithm, which at each step concentrates on functions having both low risk and low variance with respect to the previous step prediction functi...
Jean-Yves Audibert
IUI
2006
ACM
14 years 2 months ago
Eye-tracking to model and adapt to user meta-cognition in intelligent learning environments
In this paper we describe research on using eye-tracking data for on-line assessment of user meta-cognitive behavior during the interaction with an intelligent learning environmen...
Christina Merten, Cristina Conati
ICCAD
2005
IEEE
105views Hardware» more  ICCAD 2005»
14 years 5 months ago
Weighted control scheduling
Abstract — This paper describes a practical technique for the optimal scheduling of control dominated systems minimizing the weighted average latency over all control branches. S...
Aravind Vijayakumar, Forrest Brewer
GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
14 years 14 days ago
Adaptive discretization for probabilistic model building genetic algorithms
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
Chao-Hong Chen, Wei-Nan Liu, Ying-Ping Chen
GECCO
2009
Springer
101views Optimization» more  GECCO 2009»
14 years 3 months ago
Modeling UCS as a mixture of experts
We present a probabilistic formulation of UCS (a sUpervised Classifier System). UCS is shown to be a special case of mixture of experts where the experts are learned independentl...
Narayanan Unny Edakunni, Tim Kovacs, Gavin Brown, ...