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GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
14 years 1 months ago
Coevolution and Linear Genetic Programming for Visual Learning
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
Krzysztof Krawiec, Bir Bhanu
FC
2009
Springer
67views Cryptology» more  FC 2009»
13 years 12 months ago
Privacy-Preserving Classifier Learning
We present an efficient protocol for the privacy-preserving, distributed learning of decision-tree classifiers. Our protocol allows a user to construct a classifier on a database h...
Justin Brickell, Vitaly Shmatikov
MICAI
2005
Springer
14 years 1 months ago
Fuzzeval: A Fuzzy Controller-Based Approach in Adaptive Learning for Backgammon Game
Abstract. In this paper we investigate the effectiveness of applying fuzzy controllers to create strong computer player programs in the domain of backgammon. Fuzzeval, our proposed...
Mikael Heinze, Daniel Ortiz Arroyo, Henrik Legind ...
ISMB
2000
13 years 9 months ago
A Probabilistic Learning Approach to Whole-Genome Operon Prediction
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
METRICS
2005
IEEE
14 years 1 months ago
Can We Teach Empirical Software Engineering?
We report about an empirical software engineering course for PhD students. We introduce its syllabus and two different pedagogical strategies. The first strategy is based on indiv...
Maria Letizia Jaccheri, Thomas Østerlie