198 search results - page 31 / 40 » Using Genetic Programming for Turing Machine Induction |
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
We describe a reinforcement learning system that transfers skills from a previously learned source task to a related target task. The system uses inductive logic programming to ana...
AI
1999
Springer
14 years 9 months ago
1999
Springer
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...