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AMS
2007
Springer
247views Robotics» more  AMS 2007»
15 years 10 months ago
Towards Machine Learning of Motor Skills
Autonomous robots that can adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. Early approaches to this goal du...
Jan Peters, Stefan Schaal, Bernhard Schölkopf
ICMCS
2006
IEEE
141views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Consistent Goal-Directed User Model for Realisitc Man-Machine Task-Oriented Spoken Dialogue Simulation
Because of the great variability of factors to take into account, designing a spoken dialogue system is still a tailoring task. Rapid design and reusability of previous work is ma...
Olivier Pietquin
IEAAIE
2004
Springer
15 years 9 months ago
Machine Learning Approaches for Inducing Student Models
The main issue in e-learning is student modelling, i.e. the analysis of a student’s behaviour and prediction of his/her future behaviour and learning performance. Indeed, it is d...
Oriana Licchelli, Teresa Maria Altomare Basile, Ni...
FPL
2009
Springer
161views Hardware» more  FPL 2009»
15 years 8 months ago
A multi-FPGA architecture for stochastic Restricted Boltzmann Machines
Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, ...
Daniel L. Ly, Paul Chow
PPOPP
1993
ACM
15 years 8 months ago
Experience with Fine-Grain Synchronization in MIMD Machines for Preconditioned Conjugate Gradient
This paper discusses our experience with fine-grain synchronization for a variant of the preconditioned conjugate gradient method. This algorithm represents a large class of algo...
Donald Yeung, Anant Agarwal