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JSAI
2005
Springer
15 years 12 months ago
Learning Stochastic Logical Automaton
Abstract. This paper is concerned with algorithms for the logical generalisation of probabilistic temporal models from examples. The algorithms combine logic and probabilistic mode...
Hiroaki Watanabe, Stephen Muggleton
GECCO
2004
Springer
107views Optimization» more  GECCO 2004»
15 years 11 months ago
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Alexander F. Tulai, Franz Oppacher
ICDAR
2003
IEEE
15 years 11 months ago
Correcting the Document Layout: A Machine Learning Approach
In this paper, a machine learning approach to support the user during the correction of the layout analysis is proposed. Layout analysis is the process of extracting a hierarchica...
Donato Malerba, Floriana Esposito, Oronzo Altamura...
KDD
2009
ACM
175views Data Mining» more  KDD 2009»
15 years 11 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...
OOPSLA
1999
Springer
15 years 10 months ago
Atlas: A Case Study in Building a Web-Based Learning Environment using Aspect-oriented Programming
The Advanced Teaching and Learning Academic Server (Atlas) is a software system that supports web-based learning. Students can register for courses, and can navigate through perso...
Mik Kersten, Gail C. Murphy