Search Results - (((((((ant OR arts) OR wikant) OR data) OR cantor) OR anne) OR halted) OR wanti) algorithms.

Standard colorimetry : definitions, algorithms, and software by Oleari, Claudio

Full text (MFA users only)

Cognitive Radio Networks Optimization with Spectrum Sensing Algorithms. by Dhope, Tanuja S.

Full text (MFA users only)

Data science programming all-in-one by Mueller, John, 1958-, Massaron, Luca

Table of Contents: “…Manipulating data using basic algorithms --…”
Full text (MFA users only)

Evolutionary algorithms for mobile ad hoc networks

Table of Contents: “…3 SURVEY ON OPTIMIZATION PROBLEMS FOR MOBILE AD HOC NETWORKS3.1 TAXONOMY OF THE OPTIMIZATION PROCESS; 3.2 STATE OF THE ART; 3.3 CONCLUSION; REFERENCES; 4 MOBILE NETWORKS SIMULATION; 4.1 SIGNAL PROPAGATION MODELING; 4.2 STATE OF THE ART OF NETWORK SIMULATORS; 4.3 MOBILITY SIMULATION; 4.4 CONCLUSION; REFERENCES; PART II: PROBLEMS OPTIMIZATION; 5 PROPOSED OPTIMIZATION FRAMEWORK; 5.1 ARCHITECTURE; 5.2 OPTIMIZATION ALGORITHMS; 5.3 SIMULATORS; 5.4 EXPERIMENTAL SETUP; 5.5 CONCLUSION; REFERENCES; 6 BROADCASTING PROTOCOL; 6.1 THE PROBLEM; 6.2 EXPERIMENTS; 6.3 ANALYSIS OF RESULTS; 6.4 CONCLUSION.…”
Full text (MFA users only)

Handbook of Mathematical Formulas and Integrals. by Jeffrey, Alan

Full text (MFA users only)

Deep Learning for the Earth Sciences : A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences. by Camps-Valls, Gustau

Table of Contents: “…Cover -- Title Page -- Copyright -- Contents -- Foreword -- Acknowledgments -- List of Contributors -- List of Acronyms -- Chapter 1 Introduction -- 1.1 A Taxonomy of Deep Learning Approaches -- 1.2 Deep Learning in Remote Sensing -- 1.3 Deep Learning in Geosciences and Climate -- 1.4 Book Structure and Roadmap -- Part I Deep Learning to Extract Information from Remote Sensing Images -- Chapter 2 Learning Unsupervised Feature Representations of Remote Sensing Data with Sparse Convolutional Networks -- 2.1 Introduction -- 2.2 Sparse Unsupervised Convolutional Networks…”
Full text (MFA users only)

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…”
Full text (MFA users only)

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).…”
Full text (MFA users only)

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…”
Full text (MFA users only)

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. …”
Full text (MFA users only)

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. …”
Full text (MFA users only)

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. …”
Full text (MFA users only)

Poems that solve puzzles : the history and science of algorithms by Bleakley, Chris

Table of Contents: “…Cover -- POEMS THAT SOLVE PUZZLES -- Copyright -- Dedication -- Foreword -- About the Author -- Contents -- Introduction -- The Trainee Librarian -- The Algorithm Machine -- 1 Ancient Algorithms -- Etched in Clay -- Uncovered at Last -- Elegance and Beauty -- Finding Primes -- 2 Ever-Expanding Circles -- Wheels Within Wheels -- World Records -- The Art of Reckoning -- Waves Upon Waves -- 3 Computer Dreams -- A Clockwork Computer -- The Turing Machine -- 4 Weather Forecasts -- Numerical Forecasts -- ENIAC -- Monte Carlo -- Computer Forecasts -- Chaos -- Long-Range Forecasts…”
Full text (MFA users only)

Data clustering in C++ : an object-oriented approach by Gan, Guojun, 1979-

Table of Contents: “…Data clustering algorithms.…”
Full text (MFA users only)

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?…”
Full text (MFA users only)

Big Data and HPC. by Grandinetti, L.

Table of Contents: “…Intro; Title Page; Preface; Contents; State of the Art and Future Scenarios; Runtime System Architecture for Dynamic Adaptive Execution; High Performance Computing and Big Data Convergence: A Technical Review; Challenges in HPC Evaluation: Towards a Methodology for Scientific Application Requirements; Scaling Big Data Neuroscience: From Interactive Analytics to HPC Platforms; Big Data Challenges; CBIR on Big Data by Use of Deep Learning; APPGRIT: A Parallel Pipeline for Graph Representation in Text Mining; Introduction and Patent Analysis of Signal Processing for Big Data.…”
Full text (MFA users only)

Concept Data Analysis. by Carpineto, Claudio

Table of Contents: “…Concept Data Analysis; Contents; Foreword; Preface; I Theory and Algorithms; II Applications; References; Index.…”
Full text (MFA users only)

Algorithmic and artificial intelligence methods for protein bioinformatics

Full text (MFA users only)

Kernels for structured data by Gärtner, Thomas

Full text (MFA users only)

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.…”
Full text (MFA users only)