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» Learning Overcomplete Representations
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ILP
1998
Springer
15 years 10 months ago
Learning Structurally Indeterminate Clauses
This paper describes a new kind of language bias, S-structural indeterminate clauses, which takes into account the meaning of predicates that play a key role in the complexity of l...
Jean-Daniel Zucker, Jean-Gabriel Ganascia
EVOW
1994
Springer
15 years 10 months ago
Genetic Approaches to Learning Recursive Relations
The genetic programming (GP) paradigm is a new approach to inductively forming programs that describe a particular problem. The use of natural selection based on a fitness ]unction...
Peter A. Whigham, Robert I. McKay
AAAI
2007
15 years 8 months ago
A Connectionist Cognitive Model for Temporal Synchronisation and Learning
The importance of the efforts towards integrating the symbolic and connectionist paradigms of artificial intelligence has been widely recognised. Integration may lead to more e...
Luís C. Lamb, Rafael V. Borges, Artur S. d'...
ECAI
2008
Springer
15 years 8 months ago
Reinforcement Learning with the Use of Costly Features
In many practical reinforcement learning problems, the state space is too large to permit an exact representation of the value function, much less the time required to compute it. ...
Robby Goetschalckx, Scott Sanner, Kurt Driessens
IJMMS
2006
64views more  IJMMS 2006»
15 years 6 months ago
Revising (multi-) media learning principles by applying a differentiated knowledge concept
This paper reports on a study investigating the effect of single-media and multimedia presentations on the resulting knowledge. First, this study investigated the stability of est...
Sissel Guttormsen Schär, Johannes Kaiser