Arama Sonuçları - "feature selection"

Recent Advances in Ensembles for Feature Selection Yazar: Bolón-Canedo, Verónica, Alonso-Betanzos, Amparo

İçindekiler: “…Basic concepts -- Feature selection -- Foundations of ensemble learning -- Ensembles for feature selection -- Combination of outputs -- Evaluation of ensembles for feature selection -- Other ensemble approaches -- Applications of ensembles versus traditional approaches: experimental results -- Software tools -- Emerging Challenges. .…”
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Advances in Feature Selection for Data and Pattern Recognition

İçindekiler: “…An Introduction -- Attribute Selection Based on Reduction of Numerical Attribute During Discretization -- Improving Bagging Ensembles for Class Imbalanced Data by Active Learning -- Optimization of Decision Rules Relative to Length Based on Modified Dynamic Programming Approach -- Ranking-Based Rule Classifier Optimisation -- Attribute Selection in a Dispersed Decision-Making System -- Feature Selection Approach for Rule-based Knowledge Bases -- Feature Selection with a Genetic Algorithm for Classification of Brain Imaging Data.…”
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Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering Yazar: Abualigah, Laith Mohammad Qasim

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Intelligent decision support systems applications in signal processing

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Machine Learning Paradigms: Theory and Application

İçindekiler: “…Part I: Machine Learning in Feature Selection -- Hybrid Feature Selection Method Based On The Genetic Algorithm And Pearson Correlation Coefficient -- Weighting Attributes and Decision Rules through Rankings and Discretisation Parameters -- Greedy Selection of Attributes to be Discretised -- Part II: Machine Learning in Classification and Ontology -- Machine learning for Enhancement Land Cover and Crop Types Classification.…”
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Natural Computing for Unsupervised Learning

İçindekiler: “…Introduction -- Part I - Basic Natural Computing Techniques for Unsupervised Learning -- Hard Clustering using Evolutionary Algorithms -- Soft Clustering using Evolutionary Algorithms -- Fuzzy / Rough Set Systems for Unsupervised Learning -- Unsupervised Feature Selection using Evolutionary Algorithms -- Unsupervised Feature Selection using Artificial Neural Networks -- Part II - Advanced Natural Computing Techniques for Unsupervised Learning -- Hybrid Genetic Algorithms for Feature Subset Selection in Model-Based Clustering -- Nature-Inspired Optimization Approaches for Unsupervised Feature Selection -- Co-Evolutionary Approaches for Unsupervised Learning -- Mining Evolving Patterns using Natural Computing Techniques -- Multi-objective Optimization for Unsupervised Learning -- Many-objective Optimization for Unsupervised Learning -- Part III - Applications -- Unsupervised Identification of DNA-binding Proteins using Natural Computing Techniques -- Parallel Solution-based Natural Clustering Techniques on Railway Engineering data -- Natural Computing Techniques for Community Detection on Online Social Networks -- Big Data Challenges and Scalability in Natural Computing for Unsupervised Learning -- Conclusion.…”
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Nature-Inspired Algorithms and Applied Optimization

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Granular Neural Networks, Pattern Recognition and Bioinformatics Yazar: Pal, Sankar K., Ray, Shubhra S., Ganivada, Avatharam

İçindekiler: “…Introduction to Granular Computing, Pattern Recognition and Data Mining -- Classification using Fuzzy Rough Granular Neural Networks -- Clustering using Fuzzy Rough Granular Self-Organizing Map -- Fuzzy Rough Granular Neural Network and Unsupervised Feature Selection.…”
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Nature Inspired Optimization Techniques for Image Processing Applications

İçindekiler: “…Firefly Optimization Based Improved Fuzzy Clustering for CT/MR Image Segmentation -- Bat Optimization based Vector Quantization Algorithm for Medical Image Compression -- An Assertive Framework for Automatic Tamil Sign Language Recognition System using Computational Intelligence -- Improved detection of steganographic algorithms in spatial LSB stego images using hybrid GRASP-BGWO optimisation -- Nature inspired optimization techniques for Image Processing - A short review -- Application of Ant Colony Optimization for Enhancement of Visual Cryptography Images -- Plant phenotyping through Image analysis using nature inspired optimization techniques -- Cuckoo Optimization Algorithm (COA) for image processing -- Artificial Bee Colony Based Feature Selection for Automatic Skin Disease Identification of Mango Fruit -- Analyzing the Effect of Optimization Strategies in Deep Convolutional Neural Network -- A Novel Underwater Image Enhancement Approach with Wavelet Transform Supported by Differential Evolution Algorithm -- Feature Selection in Fetal Biometrics for Abnormality Detection in Ultrasound Images.…”
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Unsupervised Learning Algorithms

İçindekiler: “…Introduction -- Feature Construction -- Feature Extraction -- Feature Selection -- Association Rule Learning -- Clustering -- Anomaly/Novelty/Outlier Detection -- Evaluation of Unsupervised Learning -- Applications -- Conclusion.…”
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Data-Driven Technology for Engineering Systems Health Management Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions / Yazar: Niu, Gang

İçindekiler: “…Background of Systems Health Management -- Design Approach for Systems Health Management -- Overview of Data-driven PHM -- Data Acquisition and Preprocessing -- Statistic Feature Extraction -- Feature Selection Optimization -- Intelligent Fault Diagnosis Methodology -- Science of Prognostics -- Data Fusion Strategy -- System Support and Logistics.…”
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Data Management, Analytics and Innovation Proceedings of ICDMAI 2018, Volume 1 /

İçindekiler: “…Improved Rotated Local Binary Pattern -- An Introduction to Quantum Search Algorithm and Its Implementation -- Smart Waste Management for Segregating Different Types of Waste -- Performance Evaluation and Analysis of Feature Selection Algorithms -- Vertex Importance Extension of Betweenness Centrality Algorithm -- Privacy Protection Data Analytics in Smart Home Environments with Secure Computaion.…”
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Rotating Machinery and Signal Processing Proceedings of the First Workshop on Signal Processing Applied to Rotating Machinery Diagnostics, SIGPROMD'2017, April 09-11, 2017, Setif,...

İçindekiler: “…From the content: Feature Selection Scheme Based on Pareto Method for Gearbox Fault Diagnosis -- A Intelligent Gear Fault Diagnosis in Normal and Non-Stationary Conditions Based on Instantaneous Angular Speed, Differential Evolution and Multi-class Support Vector Machine -- Effect of Input Data on The Neural Networks Performance Applied in Bearing Fault Diagnosis.…”
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11th International Conference on Practical Applications of Computational Biology & Bioinformatics

İçindekiler: “…Processing 2D gel electrophoresis images for efficient Gaussian mixture modeling -- Development of text mining tools for information retrieval from patents -- Multidimensional Feature Selection and Interaction Mining with Decision Tree based ensemble methods -- Study of the Epigenetic Signals in the Human Genome -- An Ensemble Approach for Gene Selection in Gene Expression Data -- Dissimilar Symmetric Word Pairs in the Human Genome.…”
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Evolutionary and Swarm Intelligence Algorithms

İçindekiler: “…Swarm and Evolutionary Computation -- Particle Swarm Optimization -- Artificial Bee Colony Algorithm Variants and Its Application to Colormap Quantization -- Spider Monkey Optimization Algorithm -- Genetic Algorithm and Its Advances in Embracing Memetics -- Constrained Multi-Objective Evolutionary Algorithm -- Genetic Programming for Classification and Feature Selection -- Genetic Programming for Job Shop Scheduling -- Evolutionary Fuzzy Systems: A Case Study for Intrusion Detection Systems.…”
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Innovations in Bio-Inspired Computing and Applications Proceedings of the 6th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2015) held i...

İçindekiler: “…Multiset Genetic Algorithm Approach to Grid Resource Allocation -- Secure Cloud Multi-tenant Applications with Cache in PaaS -- HAWK EYE: Intelligent Analysis of Socio Inspired Cohorts for Plagiarism -- Mechanism of Fuzzy ARMS on Chemical Reaction -- The Power of Hybridity and Context Free in HP System -- Enhanced Bee Colony Algorithm for Efficient Load Balancing and Scheduling in Cloud -- Robust Optimized Artificial Neural Network Based Pem Fuelcell Voltage Tracking -- Gravitational Search Algorithm to Solve Open Vehicle Routing Problem -- PIRIDS :A Model on Intrusion Response System Based on Biologically Inspired Response Mechanism in Plants -- Particle Swarm Optimization Method Based Consistency Checking in UML Class and Activity Diagrams -- Data Centric Text Processing Using MapReduce -- Request Reply Detection Mechanism for Malicious MANETs -- Ensemble of Flexible Neural Trees for Predicting Risk in Grid Computing Environment -- A Novel Approach for Malicious Node Detection in MANET -- Improving The Productivity In Global Software Development -- Prediction of Heart Disease Using Random Forest and Feature Subset Selection -- Software Requirement Elicitation Using Natural Language Processing -- Application of Hexagonal Coordinate Systems for Searching the K-Nn In 2d Space -- Locality Aware MapReduce -- Hybrid Feature Selection using Correlation coefficient and Particle Swarm Optimization on Microarray Gene Expression Data -- Resource AwareAdaptive Scheduler for Heterogeneous Workload with Task Based Job Sampling -- Generating Picture Arrays Based on Grammar Systems with Flat Splicing Operation -- Identification of Multimodal Human-Robot Interaction Using Combined Kernels -- Debris Detection and Tracking system in water bodies using Motion Estimation technique -- Debris Detection and Tracking System in Water Bodies Using Motion Estimation Technique -- Understanding the Consequences of Social Isolation Using Fireworks Algorithm -- Ant Pheromone Evaluation Models Based Gateway Selection in MANET -- A Review on How Human Aging Influences Facial Expression Recognition (FER) -- An Intelligent Approach for Diabetes Classification, Prediction and Description -- A Novel Algorithm for Utility-Frequent Item Set Mining in Market Basket Analysis -- Exact Computation of 3D Geometric Moment Invariants for ATS Drugs Identification -- D-MBPSO:An Unsupervised Feature Selection Algorithm Based on PSO -- Delay Scheduling with Reduced Workload on JobTracker in Hadoop -- Reducing Travel Time in VANETs with Parallel Implementation of MACO (Modified ACO) -- FS-EHS: Harmony Search Based Feature Selection Algorithm for Steganalysis Using ELM -- A Hybrid Dimension Reduction Technique for Document Clustering -- 2D Image Reconstruction After Removal of Detected Salient Regions Using Exemplar-Based Image Inpainting -- Solution to Constrained Test Problems Using Cohort Intelligence Algorithm -- Placement Strategies for Faulty Cells in Module Relocation Based BISR Approach -- Fetal Heart Rate Variability: Multiple Regression Models Using Autoregressive Analysis and Fast Fourier Transform -- Restricted Boltzmann Machine based Energy Efficient Cognitive Network -- An Overview of Computational Intelligence Technique in Drug Molecular Structure Identification -- An Effective Bio-Inspired Methodology for Optimal Estimation and Forecasting of Co2 Emission in India -- Conceptual Voice Based Querying Support Model for Relevant Document Retrieval -- Online Pairwise Ranking Based on Graph Edge-Connectivity -- Fuzzy Variable Stiness in Landing Phase for Jumping Robot -- An Extended Study on the Association Between Elicitation Issues and Software Project Performance: A Theoretical Model -- Compact Design of Rectangular Patch Antenna With Symmetrical U Slots on Partial Ground for UWB Applications -- Compact Design of Rectangular Patch Antenna with Symmetrical U slots on Partial Ground for UWB Applications -- Big Data Challenges And Solutions in Healthcare: A Survey -- Experimental Study on Bound Handling Techniques for Multi-Objective Particle Swarm Optimization -- Role of Bio-inspired Optimization in Disaster Operations Management Research -- Optimal Reservoir Release for Hydropower Generation Maximization Using Particle Swarm Optimization.…”
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Intelligent Engineering Informatics Proceedings of the 6th International Conference on FICTA /

İçindekiler: “…A Study on Wrapper Based Feature Selection Algorithm for Leukemia Dataset -- 32. …”
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Interpretable Machine Learning with Python : Build Explainable, Fair, and Robust High-Performance Models with Hands-on, Real-world Examples. Yazar: Mas�is, Serg

İçindekiler: “…Defining a strategy to get it to work with a multivariate time series model -- Laying the groundwork for the permutation approximation strategy -- Computing the SHAP values -- Identifying influential features with factor prioritization -- Computing Morris sensitivity indices -- Analyzing the elementary effects -- Quantifying uncertainty and cost sensitivity with factor fixing -- Generating and predicting on Saltelli samples -- Performing Sobol sensitivity analysis -- Incorporating a realistic cost function -- Mission accomplished -- Summary -- Dataset and image sources -- Further reading -- Chapter 10: Feature Selection and Engineering for Interpretability -- Technical requirements -- The mission -- The approach -- The preparations -- Loading the libraries -- Understanding and preparing the data -- Understanding the effect of irrelevant features -- Creating a base model -- Evaluating the model -- Training the base model at different max depths -- Reviewing filter-based feature selection methods -- Basic filter-based methods -- Constant features with a variance threshold -- Quasi-constant features with value_counts -- Duplicating features -- Removing unnecessary features -- Correlation filter-based methods -- Ranking filter-based methods -- Comparing filter-based methods -- Exploring embedded feature selection methods -- Discovering wrapper, hybrid, and advanced feature selection methods -- Wrapper methods -- Sequential forward selection (SFS) -- Hybrid methods -- Recursive Feature Elimination (RFE) -- Advanced methods -- Model-agnostic feature importance -- Genetic algorithms -- Evaluating all feature-selected models -- Considering feature engineering -- Mission accomplished -- Summary -- Dataset sources -- Further reading -- Chapter 11: Bias Mitigation and Causal Inference Methods -- Technical requirements -- The mission -- The approach.…”
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Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings Yazar: Pham, Thuy T.

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Techniques and Environments for Big Data Analysis Parallel, Cloud, and Grid Computing /

İçindekiler: “…Introduction to Big Data Analysis -- Parallel Environments -- A Deep Dive into the Hadoop World to Explore its Various Performances -- Natural Language Processing and Machine Learning for Big Data -- Big Data and Cyber Foraging: Future Scope and Challenges -- Parallel GA in Big Data Analysis -- Evolutionary Algorithm Based Techniques to Handle Big Data -- Statistical and Evolutionary Feature Selection Techniques Parallelized using MapReduce Programming Model -- A Data Aware Scheme for Scheduling Big-Data Applications on SAVANNA Hadoop -- The Role of Grid Technologies: A Next Level Combat with Big Data.…”
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