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Hybrid Methods in Feature Selection

selection is essential for the machine learning algorithms while handling high dimensional datasets. Many traditional search methods have shown;

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Computational Methods of Feature Selection

Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields;

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A Hybrid Feature Selection Model For Genome Wide Association Studies

dimensional data and to be able to find the nonlinear relations, data mining approaches are needed. In this work, a hybrid feature selection model;

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Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering

new feature selection method based on a particle swarm optimization algorithm with a novel weighting scheme is proposed, as well as a detailed;

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Feature Selection in Data Mining - Approaches Based on Information Theory

set of features will almost certainly overfit on future data sets. The book presents streamwise feature selection which interleaves the;

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Advances in Swarm Intelligence, Part I

system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I;

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Spectral Feature Selection for Data Mining

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying;

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Spectral Feature Selection for Data Mining

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying;

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Analysis And Design Of Intelligent Systems Using Soft Computing Techniques

This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing;

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Computational Intelligence And Feature Selection

Intelligence and Feature Selection provides readers with the background and fundamental ideas behind Feature Selection (FS), with an emphasis on;

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Brain Seizure Detection and Classification Using EEG Signals

performance feature extraction. The book covers the feature selection method based on One-way ANOVA, along with high performance machine learning;

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Combining Pattern Classifiers

selection, now in its second edition The art and science of combining pattern classifiers has flourished into a prolific discipline since the first;

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Grammar Based Feature Generation for Time Series Prediction

context-free grammar. A number of feature selection criteria are investigated and a hybrid feature generation and selection algorithm using;

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The Art and Science of Machine Intelligence

technologies and illustrates how they can work together Shows evolutionary feature subset selection combined with support vector machines;

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Hybrid Nanofluids for Convection Heat Transfer

heat transfer performance and thermophysical characteristics of hybrid nanofluids Reviews parameter selection and property;

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Feature Engineering for Machine Learning and Data Analytics

introduction to feature engineering, including feature generation, feature extraction, feature transformation, feature selection, and feature analysis;

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Feature Engineering for Machine Learning and Data Analytics

introduction to feature engineering, including feature generation, feature extraction, feature transformation, feature selection, and feature analysis;

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EEG Signal Processing

and accuracy which is why multichannel systems and proper signal processing methods are used for feature extraction, feature selection and;

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Transient Effects in Simulations of Hybrid Electric Drivetrains

This work presents an investigation of the influence of different modeling approaches on the quality of fuel economy simulations of hybrid;

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Hybrid Ship Hulls

the selection of composite part configurations, innovative design solutions, novel hybrid joining techniques, and serviceability;

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Hybrid Systems

Hybrid systems, inheriting the merits of their predecessors, exhibit extraordinary strengths to face various challenges and hostile;

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Biosignal Processing and Classification Using Computational Learning and Intelligence

selection/dimensionality reduction. Part Three presents the fundamentals of computational learning (machine learning). Then, the main techniques;

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Heterosis and Hybrid Seed Production in Agronomic Crops

Heterosis and Hybrid Seed Production in Agronomic Crops discusses how heterosis or hybrid vigor has played a major role in improving crop;

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Heterosis and Hybrid Seed Production in Agronomic Crops

Heterosis and Hybrid Seed Production in Agronomic Crops discusses how heterosis or hybrid vigor has played a major role in improving crop;

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Progress in Hybrid RANS-LES Modelling

This book gathers the proceedings of the Seventh Symposium on Hybrid RANS-LES Methods, which was held on September 17-19 in Berlin, Germany;

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Progress in Hybrid RANS-LES Modelling

This book gathers the proceedings of the Seventh Symposium on Hybrid RANS-LES Methods, which was held on September 17-19 in Berlin, Germany;

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Computational Medicinal Chemistry for Drug Discovery

to market demands in its selection and authoritative treatment of topics. The book examines molecular mechanics, semi-empirical methods, wave;

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