317 search results - page 9 / 64 » Opposition-Based Learning: A New Scheme for Machine Intellig... |
EUROCAST
2007
Springer
15 years 3 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
AIIDE
2008
14 years 11 months ago
2008
OpenNERO is an open source game platform designed for game AI research. The software package combines features commonly available in modern game engines (such as 3D graphics, phys...
ILP
2007
Springer
15 years 3 months ago
2007
Springer
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
FLAIRS
2007
14 years 11 months ago
2007
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
ECAI
2004
Springer
15 years 2 months ago
2004
Springer
The paper addresses the question whether it is possible for a machine to learn to distinguish and recognise famous musicians (concert pianists), based on their style of playing. We...