Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Pattern-oriented software architecture: a system of patterns
Pattern-oriented software architecture: a system of patterns
Extending Population-Based Incremental Learning to Continuous Search Spaces
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Removing the Genetics from the Standard Genetic Algorithm
Removing the Genetics from the Standard Genetic Algorithm
Microarray data mining with visual programming
Bioinformatics
YALE: rapid prototyping for complex data mining tasks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence)
The equation for response to selection and its use for prediction
Evolutionary Computation
A review of feature selection techniques in bioinformatics
Bioinformatics
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
IEEE Transactions on Evolutionary Computation
A memory efficient and continuous-valued compact EDA for large scale problems
Proceedings of the 14th annual conference on Genetic and evolutionary computation
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Orange is an open-source component-based software framework, featuring visual and scripting interfaces for many machine learning algorithms. Currently it does not support Estimation of Distribution Algorithms (EDA) or other methods for black-box optimization. Here we introduce Goldenberry, an Orange toolbox of EDA visual components for stochastic search-based optimization. Its main purpose is to provide an user-friendly workbench for researchers and practitioners, building upon the versatile visual front-end of Orange, and the powerful reuse and glue principles of component-based software development. Architecture of the toolbox and implementation details are given, including description and working examples for the components included in its first release: cGA, UMDA, PBIL, TILDA, UMDAc, PBILc, BMDA, CostFunctionBuilder and BlackBoxTester. Goldenberry is open-source and freely available at: http://goldenberry.codeplex.com.