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Table of Contents Genetics-Based Machine Learning: Papers |
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Posters |
Heuristic Speciation for Evolving Neural Network Ensemble (Page 1766) UCSpv: Principled Voting in UCS Rule Populations (Page 1774) |
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Ensemble Learning for Free with Evolutionary Algorithms? (Page 1782) Knowledge Reuse in Genetic Programming Applied to Visual Learning (Page 1790) Do not Match, Inherit: Fitness Surrogates for Genetics-Based Machine Learning Techniques (Page 1798) Support Vector Regression for Classifier Prediction (Page 1806) Empirical Analysis of Generalization and Learning in XCS with Gradient Descent (Page 1814) Classifier Systems that Compute Action Mappings (Page 1822) |
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Controlling Overfitting with Multi-Objective Support Vector Machines (Page 1830) Modeling XCS in Class Imbalances: Population Size and Parameter Settings (Page 1838) Modeling Selection Pressure in XCS for Proportionate and Tournament Selection (Page 1846) Towards Clustering with XCS (Page 1854) XCSF with Computed Continuous Action (Page 1861) |
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Genetics-Based Machine Learning: Posters Discovering Rules in the Poker Hand Dataset (Page 1870) Introducing Fault Tolerance to XCS (Page 1871) Feature Selection and Classification in Noisy Epistatic Problems using a Hybrid Evolutionary Approach (Page 1872) Genetically Designed Multiple-Kernels for Improving the SVM Performance (Page 1873) |
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Fused, Multi-Spectral Automatic Target Recognition with XCS (Page 1874) MDL-based Fitness for Feature Construction (Page 1875) XCS for Adaptive User-Interfaces (Page 1876) MILCS: A Mutual Information Learning Classifier System (Page 1877) |
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