C4.5: programs for machine learning
C4.5: programs for machine learning
Adaptive individuals in evolving populations: models and algorithms
Adaptive individuals in evolving populations: models and algorithms
Lamarckian Evolution, The Baldwin Effect and Function Optimization
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Visual Routine for Eye Detection Using Hybrid Genetic Architectures
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Adding learning to the cellular development of neural networks: Evolution and the baldwin effect
Evolutionary Computation
How to shift bias: Lessons from the baldwin effect
Evolutionary Computation
Journal of Artificial Intelligence Research
Hybrid learning using genetic algorithms and decision trees for pattern classification
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Computational Aspects of Pathology Image Classification and Retrieval
The Journal of Supercomputing - Special issue on supercomputing in medicine
Evolutionary computation for discovery
Communications of the ACM
Feature Space Transformation Using Genetic Algorithms
IEEE Intelligent Systems
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
A survey of evolutionary algorithms for data mining and knowledge discovery
Advances in evolutionary computing
Development and the Baldwin effect
Artificial Life
Genetic Programming and Evolvable Machines
Synthesis of interest point detectors through genetic programming
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Evolving visual sonar: Depth from monocular images
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Analysis of new variable selection methods for discriminant analysis
Computational Statistics & Data Analysis
Expert Systems with Applications: An International Journal
Visual learning of texture descriptors for facial expression recognition in thermal imagery
Computer Vision and Image Understanding
GFAM: Evolving Fuzzy ARTMAP neural networks
Neural Networks
Local invariant feature detectors: a survey
Foundations and Trends® in Computer Graphics and Vision
Connection Science - Evolutionary Learning and Optimisation
Productivity improvement of manufacturing SMEs via technology innovation in Korea
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Different metaheuristic strategies to solve the feature selection problem
Pattern Recognition Letters
Learning Bayesian networks to perform feature selection
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Intelligent approach for effective management of governmental funds for small and medium enterprises
Expert Systems with Applications: An International Journal
Using genetic algorithms for data mining optimization in an educational web-based system
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
The baldwin effect in developing neural networks
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Optimization of the hölder image descriptor using a genetic algorithm
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Using feature construction to avoid large feature spaces in text classification
Proceedings of the 12th annual conference on Genetic and evolutionary computation
How to design and utilize online customer center to support new product concept generation
Expert Systems with Applications: An International Journal
Classification ensemble by genetic algorithms
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part I
A new adaptive framework for classifier ensemble in multiclass large data
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part I
Self-tuned Evolution-COnstructed features for general object recognition
Pattern Recognition
Internet Auction Fraud Detection Using Social Network Analysis and Classification Tree Approaches
International Journal of Electronic Commerce
STochFS: a framework for combining feature selection outcomes through a stochastic process
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
Information Sciences: an International Journal
A feature construction method for general object recognition
Pattern Recognition
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This paper describes a hybrid methodology that integrates genetic algorithms (GAs) and decision tree learning in order to evolve useful subsets of discriminatory features for recognizing complex visual concepts. A GA is used to search the space of all possible subsets of a large set of candidate discrimination features. Candidate feature subsets are evaluated by using C4.5, a decision tree learning algorithm, to produce a decision tree based on the given features using a limited amount of training data. The classification performance of the resulting decision tree on unseen testing data is used as the fitness of the underlying feature subset. Experimental results are presented to show how increasing the amount of learning significantly improves feature set evolution for difficult visual recognition problems involving satellite and facial image data. In addition, we also report on the extent to which other more subtle aspects of the Baldwin effect are exhibited by the system.