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IJCNN
2006
IEEE
15 years 10 months ago
Reinforcement Learning for Parameterized Motor Primitives
Abstract— One of the major challenges in both action generation for robotics and in the understanding of human motor control is to learn the “building blocks of movement genera...
Jan Peters, Stefan Schaal
ICASSP
2008
IEEE
15 years 10 months ago
HMM adaptation using a phase-sensitive acoustic distortion model for environment-robust speech recognition
In this paper, we present a new approach to HMM adaptation that jointly compensates for additive and convolutive acoustic distortion in environment-robust speech recognition. The ...
Jinyu Li, Li Deng, Dong Yu, Yifan Gong, Alex Acero
AAAI
1990
15 years 5 months ago
Backward Model Tracing: An Explanation-Based Approach for Reconstructing Student Reasoning
An original methodology, called backward model tracing to model student performance which features a profitable integration of the bug collection and bug construction techniques i...
Danilo Fum, Paolo Giangrandi, Carlo Tasso
NECO
2007
108views more  NECO 2007»
15 years 3 months ago
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...
ENVSOFT
2006
72views more  ENVSOFT 2006»
15 years 4 months ago
Integrating legacy components into a software system for storm sewer simulation
This paper presents an approach that integrates a legacy component into a software system for storm sewer simulation. The legacy component employed here is the Storm Water Managem...
Shiu-Shin Lin, Shang-Hsien Hsieh, Jan-Tai Kuo, Yin...