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AUTOMATICA
2006
166views more  AUTOMATICA 2006»
15 years 6 months ago
On admissible pairs and equivalent feedback - Youla parameterization in iterative learning control
This paper revisits a well-known synthesis problem in iterative learning control, where the objective is to optimize a performance criterion over a class of causal iterations. The...
Mark Verwoerd, Gjerrit Meinsma, Theo de Vries
JMLR
2010
107views more  JMLR 2010»
15 years 1 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
AIED
2005
Springer
16 years 5 days ago
Modelling Learning in an Educational Game
We describe research on data-drive refinement and evaluation of a probabilistic model of student learning for an educational game on number factorization. The model is to be used b...
Micheline Manske, Cristina Conati
SETN
2004
Springer
15 years 12 months ago
Music Performer Verification Based on Learning Ensembles
In this paper the problem of music performer verification is introduced. Given a certain performance of a musical piece and a set of candidate pianists the task is to examine wheth...
Efstathios Stamatatos, Ergina Kavallieratou
177
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ICANN
2001
Springer
15 years 11 months ago
Market-Based Reinforcement Learning in Partially Observable Worlds
Unlike traditional reinforcement learning (RL), market-based RL is in principle applicable to worlds described by partially observable Markov Decision Processes (POMDPs), where an ...
Ivo Kwee, Marcus Hutter, Jürgen Schmidhuber