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FOGA
1990
13 years 11 months ago
A Hierarchical Approach to Learning the Boolean Multiplexer Function
This paper describes the recently developed genetic programming paradigm which genetically breeds populations of computer programs to solve problems. In genetic programming, the i...
John R. Koza
ECML
2006
Springer
14 years 1 months ago
Improving Control-Knowledge Acquisition for Planning by Active Learning
Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
Raquel Fuentetaja, Daniel Borrajo
HICSS
1994
IEEE
118views Biometrics» more  HICSS 1994»
14 years 2 months ago
A Distributed Architecture for an Instructable Problem Solver
Our research goal is to design systems that enable humans to teach tedious, repetitive, simple tasks to a computer. We propose here a learner/problem solver architecture for such ...
Jacky Baltes, Bruce A. MacDonald
ICML
2005
IEEE
14 years 11 months ago
Propagating distributions on a hypergraph by dual information regularization
In the information regularization framework by Corduneanu and Jaakkola (2005), the distributions of labels are propagated on a hypergraph for semi-supervised learning. The learnin...
Koji Tsuda
ITS
2010
Springer
178views Multimedia» more  ITS 2010»
14 years 2 months ago
Learning by Teaching SimStudent
The purpose of the current study was to test whether we could create a system where students can learn by teaching a live machine-learning agent. SimStudent is a computer agent tha...
Noboru Matsuda, Victoria Keiser, Rohan Raizada, Ga...