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ICML
2010
IEEE
15 years 6 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
136
Voted
ML
2006
ACM
149views Machine Learning» more  ML 2006»
15 years 4 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 ...
144
Voted
IJISTA
2007
124views more  IJISTA 2007»
15 years 4 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...
129
Voted
JIFS
2002
60views more  JIFS 2002»
15 years 4 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...
ML
2002
ACM
121views Machine Learning» more  ML 2002»
15 years 4 months ago
Near-Optimal Reinforcement Learning in Polynomial Time
We present new algorithms for reinforcement learning, and prove that they have polynomial bounds on the resources required to achieve near-optimal return in general Markov decisio...
Michael J. Kearns, Satinder P. Singh