2073 search results - page 169 / 415 » Learning for Dynamic Subsumption |
151
click to vote
ILP
2007
Springer
15 years 9 months ago
2007
Springer
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
137
click to vote
WOSS
2004
ACM
15 years 8 months ago
2004
ACM
Components in a decentralised system are faced with uncertainty as how to best adapt to a changing environment to maintain or optimise system performance. How can individual compo...
132
click to vote
ICPR
2002
IEEE
15 years 8 months ago
2002
IEEE
In this paper we describe a method of learning hierarchical representations for describing and recognizing gestures expressed as one and two arm movements using competitive learni...
144
click to vote
ECAL
2001
Springer
15 years 7 months ago
2001
Springer
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
133
click to vote
CIA
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...