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ICML
2010
IEEE
13 years 9 months ago
Finite-Sample Analysis of LSTD
In this paper we consider the problem of policy evaluation in reinforcement learning, i.e., learning the value function of a fixed policy, using the least-squares temporal-differe...
Alessandro Lazaric, Mohammad Ghavamzadeh, Ré...
ICML
2010
IEEE
13 years 9 months ago
Convergence of Least Squares Temporal Difference Methods Under General Conditions
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
Huizhen Yu
ML
2006
ACM
149views Machine Learning» more  ML 2006»
13 years 8 months ago
A case based approach to expressivity-aware tempo transformation
The research presented in this paper is focused on global tempo transformations of music performances. We are investigating the problem of how a performance played at a particular...
Maarten Grachten, Josep Lluís Arcos, Ramon ...
IJISTA
2007
124views more  IJISTA 2007»
13 years 8 months ago
Incremental learning for spoken affect classification and its application in call-centres
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
Donn Morrison, Ruili Wang, W. L. Xu, Liyanage C. D...
JIFS
2002
60views more  JIFS 2002»
13 years 7 months ago
Turing's analysis of computation and artificial neural networks
A novel way to simulate Turing Machines (TMs) by Artificial Neural Networks (ANNs) is proposed. We claim that the proposed simulation is in agreement with the correct interpretatio...
Wilson Rosa de Oliveira, Marcílio Carlos Pe...