Lecture3 - Machine Learning

New Challenges in Learning Classifier Systems: Mining Rarities and Evolving Fuzzy Rules

IWLCS'2008: First Approach toward Online Evolution of Association Rules with Learning Classifier Systems

HIS'2008: Genetic-based Synthetic Data Sets for the Analysis of Classifiers Behavior

HIS'2008: New Crossover Operator for Evolutionary Rule Discovery in XCS

HIS'2008: Artificial Data Sets based on Knowledge Generators: Analysis of Learning Algorithms Efficiency

ESTYLF'2008: Modelado Causal en Marketing mediante Aprendizaje no Supervisado de Reglas de Asociación Difusas

HAIS'2008: Approximate versus Linguistic Representation in Fuzzy-UCS

CCIA'2008: On the dimensions of data complexity through synthetic data sets

CCIA'2008: Can Evolution Strategies Improve Learning Guidance in XCS? Design and Comparison with GA-based XCS

IWLCS'2007: Substructural Surrogates for Learning Decomposable Classification Problems: Implementation and First Results

GECCO'2007: Modeling XCS in Class Imbalances: Population Size and Parameter Settings

GECCO'2006: Bounding XCS’s Parameters for Unbalanced Datasets

IWLCS'2007: Fuzzy-UCS: Preliminary Results

Lecture13 - Association Rules

Lecture1 AI1 Introduction to artificial intelligence

GECCO'2007: Modeling Selection Pressure in XCS for Proportionate and Tournament Selection

Lecture9 - Bayesian-Decision-Theory

Lecture22

Lecture4 - Machine Learning