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Mobile robot global localization using differential evolution and particle swarm optimization
TLDR
We propose two sample-based evolutionary methods for globally localizing the position of a mobile robot. Expand
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Radiation grafting of styrene onto polypropylene fibres by a 10 MeV electron beam
Abstract The radiation-induced graft copolymerization is an effective method for modification of the chemical and physical properties of polypropylene. Graft copolymerization of styrene ontoExpand
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Decomposition and decoloration of a direct dye by electron beam radiation
Abstract The wastewaters released by textile industries to the environment contain hazardous compounds like toxic refractory dye stuff at high concentration. In this study, electron beamExpand
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On botnet detection with genetic programming under streaming data, label budgets and class imbalance
TLDR
We demonstrate that effective Botnet detection is possible for label budgets as low as 0.5% when an active learning approach is adopted for genetic programming (GP) streaming data analysis. Expand
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Active Learning for High-Dimensional Binary Features
TLDR
We propose to take advantage of sparse linear models to simplify the predictive model. Expand
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Evolving GP Classifiers for Streaming Data Tasks with Concept Change and Label Budgets: A Benchmarking Study
TLDR
Streaming data classification requires that several additional challenges are addressed that are not typically encountered in offline supervised learning formulations. Expand
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On the application of GP to streaming data classification tasks with label budgets
TLDR
A framework is introduced for applying GP to streaming data classification tasks under label budgets. Expand
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On botnet detection with genetic programming under streaming data label budgets and class imbalance
TLDR
We propose a set of algorithms for constructing models of classification under label budgets and class imbalance under streaming data scenarios. Expand
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Automatic Design of Modular Neural Networks Using Genetic Programming
TLDR
We use genetic programming for automatic modular neural networks design; their architectures, transfer functions and connection weights. Expand
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Bottom-up evolutionary subspace clustering
TLDR
In this work a generic evolutionary approach to bottom-up subspace clustering is proposed consisting of three steps. Expand
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