Search Results - (((((((ant OR kkantor) OR wiant) OR data) OR cantor) OR anne) OR halted) OR antiii) algorithms.

Data Analytics in Bioinformatics : A Machine Learning Perspective. by Satpathy, Rabinarayan

Table of Contents: “…3 A Critical Review on the Application of Artificial Neural Network in Bioinformatics -- 3.1 Introduction -- 3.1.1 Different Areas of Application of Bioinformatics -- 3.1.2 Bioinformatics in Real World -- 3.1.3 Issues with Bioinformatics -- 3.2 Biological Datasets -- 3.3 Building Computational Model -- 3.3.1 Data Pre-Processing and its Necessity -- 3.3.2 Biological Data Classification -- 3.3.3 ML in Bioinformatics -- 3.3.4 Introduction to ANN -- 3.3.5 Application of ANN in Bioinformatics -- 3.3.6 Broadly Used Supervised Machine Learning Techniques -- 3.4 Literature Review…”
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Combining pattern classifiers : methods and algorithms by Kuncheva, Ludmila I. (Ludmila Ilieva), 1959-

Table of Contents: “…6.A.1 Bagging6.A.2 AdaBoost -- 6.A.3 Random Subspace -- 6.A.4 Rotation Forest -- 6.A.5 Random Linear Oracle -- 6.A.6 Ecoc -- Notes -- 7 Classifier Selection -- 7.1 Preliminaries -- 7.2 Why Classifier Selection Works -- 7.3 Estimating Local Competence Dynamically -- 7.4 Pre-Estimation of the Competence Regions -- 7.5 Simultaneous Training of Regions and Classifiers -- 7.6 Cascade Classifiers -- Appendix: Selected Matlab Code -- 7.A.1 Banana Data -- 7.A.2 Evolutionary Algorithm for a Selection Ensemble for the Banana Data…”
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Meta-heuristic and evolutionary algorithms for engineering optimization by Bozorg-Haddad, Omid, 1974-, Solgi, Mohammad, 1989-, Loaiciga, Hugo A.

Table of Contents: “…Overview of optimization -- Introduction to meta-heuristic and evolutionary algorithms -- Pattern search (PS) -- Genetic algorithm (GA) -- Simulated annealing (SA) -- Tabu search (TS) -- Ant colony optimization (ACO) -- Particle swarm optimization (PSO) -- Differential evolution (DE) -- Harmony search (HS) -- Shuffled frog-leaping algorithm (SFLA) -- Honey-bee mating optimization (HBMO) -- Invasive weed optimization (IWO) -- Central force optimization (CFO) -- Biogeography-based optimization (BBO) -- Firefly algorithm (FA) -- Gravity search algorithm (GSA) -- Bat algorithm (BA) -- Plant propagation algorithm (PPA) -- Water cycle algorithm (WCA) -- Symbiotic organisms search (SOS) -- Comprehensive evolutionary algorithm (CEA).…”
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The discrete fourier transform : theory, algorithms and applications by Sundararajan, D.

Table of Contents: “…Ch. 9. DFT algorithms for real data -- II. 9.1. The storage of data in PM RDFT and RIDFT algorithms. 9.2. …”
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Analysis of biological data : a soft computing approach

Table of Contents: “…Bioinformatics: mining the massive data from high throughput genomics experiments / Haixu Tang and Sun Kim. ch. 2. …”
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Visual Data Mining : The VisMiner Approach. by Anderson, Russell K.

Table of Contents: “…Introduction -- Data Mining Objectives -- Introduction to VisMiner -- The Data Mining Process -- Initial Data Exploration -- Dataset Preparation -- Algorithm Selection and Application -- Model Evaluation -- Summary -- 2. …”
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Data clustering in C++ : an object-oriented approach by Gan, Guojun, 1979-

Table of Contents: “…Data clustering algorithms.…”
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The ultimate algorithmic trading system toolbox + website : using today's technology to help you become a better trader by Pruitt, George, 1967-

Table of Contents: “…AFL Array ProgrammingSyntax; AFL Wizard; AmiBroker Loop Programming; Summary; Chapter 5: Using Microsoft Excel to Backtest Your Algorithm; VBA Functions and Subroutines; Data; Software Structure; Programming Environment; Summary; Chapter 6: Using Python to Backtest Your Algorithm; Why Python?…”
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Concept Data Analysis. by Carpineto, Claudio

Table of Contents: “…Concept Data Analysis; Contents; Foreword; Preface; I Theory and Algorithms; II Applications; References; Index.…”
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Algorithmic and artificial intelligence methods for protein bioinformatics

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Discovering knowledge in data : an introduction to data mining by Larose, Daniel T.

Table of Contents: “…An introduction to data mining -- Data preprocessing -- Exploratory data analysis -- Statistical approaches to estimation and prediction -- k-nearest neighbor algorithm -- Decision trees -- Neural networks -- Hierarchical and k-means clustering -- Kohonen networks -- Association rules -- Model evaluation techniques.…”
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Kernels for structured data by Gärtner, Thomas

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Engineering an Algorithm for Reducing Variation in Manufacturing Processes. by Steiner, Stefan H.

Table of Contents: “…Material on Enclosed CD-ROM; Figures and Tables; Acknowledgments; Preface; 1 Introduction; PART I Setting the Stage; 2 Describing Processes; 3 Seven Approaches to Variation Reduction; 4 An Algorithm for Reducing Variation; 5 Obtaining Process Knowledge Empirically; PART II Getting Started; 6 Defining a Focused Problem; 7 Checking the Measurement System; 8 Choosing a Working Variation Reduction Approach; PART III Finding a Dominant Cause of Variation; 9 Finding a Dominant Cause Using the Method of Elimination; 10 Investigations to Compare Two Families of Variation.…”
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Smoothing of multivariate data : density estimation and visualization by Klemelä, Jussi, 1965-

Table of Contents: “…Smoothing of Multivariate Data: Density Estimation and Visualization; CONTENTS; Preface; Introduction; PART I VISUALIZATION; PART II ANALYTICAL AND ALGORITHMIC TOOLS; PART III TOOLBOX OF DENSITY ESTIMATORS; Appendix A: Notations; Appendix B: Formulas; Appendix C: The Parent-Child Relations in a Mode Graph; Appendix D: Trees; Appendix E: Proofs; Problem Solutions; References; Author Index; Topic Index.…”
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Clojure for data science : statistics, big data, and machine learning for Clojure programmers by Garner, Henry

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Digital Data Access. by Chamoux, Jean-Pierre

Table of Contents: “…Representations of communities and massive dataConstraints of mathematization; Exploiting existing data; The notion of the invariant: perspective, vectorial, linear algebra and matrix representation; Graphs, their calculations and some algorithms; Conclusion; Bibliography; 3. …”
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Algorithmic information theory for physicists and natural scientists by Devine, Sean

Table of Contents: “…Some approaches to complex or organised systems -- 1.4. Algorithmic information theory (AIT) -- 1.5. Algorithmic information theory and mathematics -- 1.6. …”
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Applied data analytics : principles and applications by Agbinya, Johnson I.

Table of Contents: “…Markov Chain and its Applications -- Hidden Markov Modelling (HMM) -- Introduction to Kalman Filters -- Kalman Filters II -- Genetic Algorithm -- Calculus on Computational Graphs -- Support Vector Machines -- Artificial Neural Networks -- Training of Neural Networks -- Recurrent Neural Networks -- Convolutional Neural Networks -- Principal Component Analysis -- Moment-Generating Functions -- Characteristic Functions -- Probability-Generating Functions -- Digital Identity Management System Using Neural Networks -- Probabilistic Neural Networks Classifiers for IoT Data Classification -- MML Learning and Inference of Hierarchical Probabilistic Finite State Machines.…”
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Big Data and HPC. by Grandinetti, L.

Table of Contents: “…Analysis and Design of IoT Based Physical Location Monitoring SystemAutonomous Task Scheduling for Fast Big Data Processing; Adaptive Resource Management for Distributed Data Analytics; HPC Challenges; High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication; Final Parallel and Distributed Computing Assignment for Master Students: Description of the Properties and Parallel Structure of Algorithms; Parallel Motion Estimation Based on GPU and Combined GPU-CPU; GPU-Based Iterative Hill Climbing Algorithm to Solve Symmetric Traveling Salesman Problem.…”
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Time reversability, computer simulation, algorithms, chaos by Hoover, William G. (William Graham), 1936-

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