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HIS
2004
15 years 3 months ago
Reinforcement Learning Hierarchical Neuro-Fuzzy Politree Model for Control of Autonomous Agents
: This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...
Karla Figueiredo, Marley B. R. Vellasco, Marco Aur...
KCAP
2003
ACM
15 years 6 months ago
Learning programs from traces using version space algebra
While existing learning techniques can be viewed as inducing programs from examples, most research has focused on rather narrow classes of programs, e.g., decision trees or logic ...
Tessa A. Lau, Pedro Domingos, Daniel S. Weld
KDD
2009
ACM
175views Data Mining» more  KDD 2009»
15 years 6 months ago
Multi-class protein fold recognition using large margin logic based divide and conquer learning
Inductive Logic Programming (ILP) systems have been successfully applied to solve complex problems in bioinformatics by viewing them as binary classification tasks. It remains an...
Huma Lodhi, Stephen Muggleton, Michael J. E. Stern...
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EUROSPI
2004
Springer
15 years 7 months ago
Discovering the Relation Between Project Factors and Project Success in Post-mortem Evaluations
Post-mortem project reviews often yield useful lessons learned. These project reviews are mostly recorded in plain text. This makes it difficult to derive useful overall findings ...
Joost J. P. Schalken, Sjaak Brinkkemper, Hans van ...
IMECS
2007
15 years 3 months ago
Knowledge Acquisition from Computer Log Files by ADG with Variable Agent Size
Abstract—We had previously proposed an outstanding evolutionary method, Automatically Defined Groups (ADG), for generating heterogeneous cooperative agents, and then we had deve...
Akira Hara, Yoshiaki Kurosawa, Takumi Ichimura