Search Results - (((((((ant OR want) OR semantic) OR cantee) OR cantor) OR anne) OR carter) OR wants) algorithms.

Data Science : The Executive Summary - a Technical Book for Non-Technical Professionals. by Cady, Field

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Principles of artificial neural networks by Graupe, Daniel

Table of Contents: “…Fundamentals of biological neural networks -- ch. 3. Basic principles of ANNs and their early structures. 3.1. Basic principles of ANN design. 3.2. …”
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Mathematical Logic in Asia : Proceedings of the 9th Asian Logic Conference. by Goncharov, S. S.

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C# 7 and .NET Core 2.0 High Performance : Build highly performant, multi-threaded, and concurrent applications using C# 7 and .NET Core 2.0. by Mehboob Ahmed Khan, Ovais

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Artificial intelligence research and development : recent advances and applications

Table of Contents: “…Title Page -- Preface -- Conference Organization -- Contents -- Machine Learning -- Approximate Policy Iteration with Bellman Residuals Minimization -- A Randomized Algorithm for Exact Transduction -- Comparing Feature-Based and Distance-Based Representations for Classification Similarity Learning -- Computer Vision I -- Bag-of-Tracklets for Person Tracking in Life-Logging Data -- Improving Autonomous Underwater Grasp Specification Using Primitive Shape Fitting in Point Clouds -- Emotions Classification Using Facial Action Units Recognition…”
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Frontiers of Artificial Intelligence in Medical Imaging. by Razmjooy, Navid

Table of Contents: “…5.5 Electromagnetic field optimization algorithm -- 5.6 Developed electromagnetic field optimization algorithm -- 5.7 Simulation results -- 5.7.1 Image acquisition -- 5.7.2 Pre-processing stage -- 5.7.3 Processing stage -- 5.7.4 Classification -- 5.8 Final evaluation -- 5.9 Conclusions -- References -- Chapter 6 Evaluation of COVID-19 lesion from CT scan slices: a study using entropy-based thresholding and DRLS segmentation -- 6.1 Introduction -- 6.2 Context -- 6.3 Methodology -- 6.3.1 COVID-19 database -- 6.3.2 Image conversion and pre-processing -- 6.3.3 Image thresholding…”
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Nuclear Medicine Imaging: An Encyclopedic Dictionary by Thie, Joseph A.

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Data analysis with R : load, wrangle, and analyze your data using the world's most powerful statistical programming language by Fischetti, Tony

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Atlas of minimally invasive surgery for lung and esophageal cancer

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Electronic engineering and information science : selected, peer reviewed papers from the 2014 International Conference on Electronic Engineering and Information Science (ICEEIS 201...

Table of Contents: “…Flatness Improvement of FRA with Multi-Wavelength PumpChapter 2: Information Science and Information Technologies; Semantic Feature Modeling Based on the Decomposition of Feature Dependent Graph; Word Sense Disambiguation for Improving the Quality of Machine Translation; Word Sense Disambiguation Based on Center Window; Nipdroid: An Enhanced Detection Mechanism for Android IPC; A Novel XML Document Retrieval Method; Selecting Filter Range of Hybrid Brain-Computer Interfaces by Mutual Information; A New Quadtree-Based Skyline Query Algorithm…”
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Advanced deep learning with R : become an expert at designing, building, and improving advanced neural network models using R by Rai, Bharatendra K.

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Power and energy systems III : selected, peer reviewed papers from the 2013 3rd International Conference on Power and Energy Systems (ICPES 2013), November 23-24, Bangkok, Thailand

Table of Contents: “…Appropriate Electric Energy Conservation Measures for Big Mosques in Riyadh CityBayesian Algorithm Based on Airborne Power Supply System; Study on the Cooling System of Super-Capacitors for Hybrid Electric Vehicle; A Charging Management of Electric Vehicles Based on Campus Survey Data; Back-EMF Position Detection Technology for Brushless DC Motor; Stress State of Turbine Blade Root and Rim Considering Manufacturing Variations; Analysis on a Gas Turbine Sealing Disk Structure and Material Strength; A Kind of Adjustable Electric Heating Pipe Power Electrode Preparation Equipment.…”
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Biomedical image analysis recipes in MATLAB : for life scientists and engineers by Reyes-Aldasoro, Constantino Carlos

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Mathematical Methods in Interdisciplinary Sciences. by Chakraverty, Snehashish

Table of Contents: “…1.2.2.1 Architecture of Single-Layer LgNN Model -- 1.2.2.2 Training Algorithm of Laguerre Neural Network (LgNN) -- 1.2.2.3 Gradient Computation of LgNN -- 1.3 Methodology for Solving a System of Fredholm Integral Equations of Second Kind -- 1.3.1 Algorithm -- 1.4 Numerical Examples and Discussion -- 1.4.1 Differential Equations and Applications -- 1.4.2 Integral Equations -- 1.5 Conclusion -- References -- Chapter 2 Deep Learning in Population Genetics: Prediction and Explanation of Selection of a Population -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Dataset Description…”
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Computer and network security essentials

Table of Contents: “…SECURITY APPLICATIONS -- Chapter 25. Generic Semantics Specification and Processing for Inter-System Information Flow Tracking -- Chapter 26. …”
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Blockchain and the Digital Economy : The Socio-Economic Impact of Blockchain Technology. by Steinmetz, Fred

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Fork Algebras in Algebra, Logic and Computer Science. by Frias, Marcelo Fabián

Table of Contents: “…7.5 A Methodology for Program Construction7.6 Examples; 7.6.1 First Example; 7.6.1.1 Finding the Minimum Element in a List; 7.6.1.2 Finding the Minimum Common Ancestor; 7.6.2 Second Example; 7.6.2.1 Finding the Contiguous Sublists of Maximum Sum; 7.6.2.2 Finding the Longest Plateau; 7.7 A D & C Algorithm for MAXSTA; 7.8 Comparison with Previous Work; Bibliography; Index.…”
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Biological computation by Lamm, Ehud

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A Primer on Machine Learning Applications in Civil Engineering by Deka, Paresh Chandra

Table of Contents: “…Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Acknowledgments -- A Primer on Machine Learning Applications in Civil Engineering -- Author -- 1: Introduction -- 1.1 Machine Learning -- 1.2 Learning from Data -- 1.3 Research in Machine Learning: Recent Progress -- 1.4 Artificial Neural Networks -- 1.5 Fuzzy Logic (FL) -- 1.6 Genetic Algorithms -- 1.7 Support Vector Machine (SVM) -- 1.8 Hybrid Approach (HA) -- Bibliography -- 2: Artificial Neural Networks -- 2.1 Introduction to Fundamental Concepts and Terminologies -- 2.2 Evolution of Neural Networks -- 2.3 Models of ANN -- 2.4 McCulloch-Pitts Model -- 2.5 Hebb Network -- 2.6 Summary -- 2.7 Supervised Learning Network -- 2.7.1 Perceptron Network -- 2.7.2 Adaptive Linear Neuron -- 2.7.3 Back-Propagation Network -- 2.7.4 Radial Basis Function Network -- 2.7.5 Generalized Regression Neural Networks -- 2.7.6 Summary -- 2.8 Unsupervised Learning Networks -- 2.8.1 Introduction -- 2.8.2 Kohonen Self-Organizing Feature Maps -- 2.8.3 Counter Propagation Network -- 2.8.4 Adaptive Resonance Theory Network -- 2.8.5 Summary -- 2.9 Special Networks -- 2.9.1 Introduction -- 2.9.2 Gaussian Machine -- 2.9.3 Cauchy Machine -- 2.9.4 Probabilistic Neural Network -- 2.9.5 Cascade Correlation Neural Network -- 2.9.6 Cognitive Network -- 2.9.7 Cellular Neural Network -- 2.9.8 Optical Neural Network -- 2.9.9 Summary -- 2.10 Working Principle of ANN -- 2.10.1 Introduction -- 2.10.2 Types of Activation Function -- 2.10.3 ANN Architecture -- 2.10.4 Learning Process -- 2.10.5 Feed-Forward Back Propagation -- 2.10.6 Strengths of ANN -- 2.10.7 Weaknesses of ANN -- 2.10.8 Working of the Network -- 2.10.9 Summary -- Bibliography -- 3: Fuzzy Logic -- 3.1 Introduction to Classical Sets and Fuzzy Sets -- 3.1.1 Classical Sets -- 3.1.2 Fuzzy Sets -- 3.1.3 Summary.…”
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Artificial intelligence research and development : current challenges, new trends and applications

Table of Contents: “…Step 1: DrugBank -- Unsupervised Systems-Level Learning Mechanism Based on Bayesian-Inference -- Towards a Universal Neural Network Encoder for Time Series -- Determining Classic Versus Modern Style in Fashion -- Data Science, Recommender Systems and Case-Based Reasoning -- Big Data Analytics for Obesity Prediction -- A Method to Integrate Semantic Criteria into a Recommender System Based on ELECTRE Outranking Relations -- A Study on Contextual Influences on Automatic Playlist Continuation.…”
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