Search Results - (((((((ant OR manthe) OR kind) OR mantis) OR cantor) OR anne) OR halted) OR wanting) algorithms.

Inverse and ill-posed problems : theory and applications by Kabanikhin, S. I.

Table of Contents: “…Pseudo-solutions; 3.2 Regularization method; 3.3 Criteria for choosing the regularization parameter; 3.4 Iterative regularization algorithms; 3.5 Singular value decomposition; 3.6 The singular value decomposition algorithm and the Godunov method; 3.7 The square root method; 3.8 Exercises; 4 Integral equations; 4.1 Fredholm integral equations of the first kind; 4.2 Regularization of linear Volterra integral equations of the first kind.…”
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Applied mechatronics and android robotics : selected, peer reviewed papers from the International Conference on Applied Mechatronics and Android Robotics (ICAMAR 2013), July 13-14,...

Table of Contents: “…Applied Mechatronics and Android Robotics; Preface, Committees and Sponsors; Table of Contents; Chapter 1: Robot Design, Motion Planning and Robot Control; Design of a Master Manipulator with Dynamical Simplification for Master-Slave Robot; Parameter Self-Adjusting Path Tracking Algorithm of Mobile Robots; Global Path Planning for Mobile Robot Based on Improved Ant Colony Algorithms; A Study of Robot Platform Based on WiFi Remote Control; Fire Detection System Based-On Mobile Robots; Phase Plane Analysis of Battery Series Balancing on Robot…”
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Comorbidity in migraine

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Slantwise moves : games, literature, and social invention in nineteenth-century America by Guerra, Douglas

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Quite right : the story of mathematics, measurement, and money by Biggs, Norman

Table of Contents: “…Calculus, coinage, and controversyLogarithms and exponents; Numbers, perfect and prime; New kinds of numbers; All kinds of wonderful things; To the limit, carefully; 8. …”
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Deep Learning with Pytorch Quick Start Guide : Learn to Train and Deploy Neural Network Models in Python. by Julian, David

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F♯ for Machine Learning Essentials. by Mukherjee, Sudipta

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Neural Networks : a Systematic Introduction by Rojas, Raúl

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The birth of numerical analysis

Table of Contents: “…Osinga -- A personal perspective on the history of the numerical analysis of Fredholm integral equations of the second kind / Kendall Atkinson -- Memoires on building a general purpose numerical algorithms library / Brian Ford -- Recent trends in high performance computing / Jack J. …”
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Advances in digital technologies : proceedings of the 6th International Conference on Applications of Digital Information and Web Technologies 2015

Table of Contents: “…Application of Genetic Algorithms to Context-Sensitive Text MiningA Decision Tree Classification Model for Determining the Location for Solar Power Plant; A Framework for Multi-Label Learning Using Label Ranking and Correlation; A Comparative Analysis of Pruning Methods for C4.5 and Fuzzy C4.5; Subject Index; Author Index.…”
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Data management of protein interaction networks by Cannataro, Mario, 1964-

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Monte Carlo methods and applications : proceedings of the 8th IMACS Seminar on Monte Carlo Methods, August 29-September 2, 2011, Borovets, Bulgaria

Table of Contents: “…Preface; 1 Improvement of Multi-population Genetic Algorithms Convergence Time; 1.1 Introduction; 1.2 Short Overview of MpGA Modifications; 1.3 Parameter Identification of S. cerevisiae Fed-Batch Cultivation Using Different Kinds of MpGA; 1.4 Analysis and Conclusions; 2 Parallelization and Optimization of 4D Binary Mixture Monte Carlo Simulations Using Open MPI and CUDA; 2.1 Introduction; 2.2 The Metropolis Monte Carlo Method; 2.3 Decomposition into Subdomains and the Virtual Topology Using OpenMPI; 2.4 Management of Hypersphere Coordinate Migration Between Domains.…”
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Java Deep Learning Projects : Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs. by Karim, Rezaul

Table of Contents: “…; Artificial Neural Networks; Biological neurons; A brief history of ANNs; How does an ANN learn?; ANNs and the backpropagation algorithm; Forward and backward passes; Weights and biases; Weight optimization; Activation functions.…”
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Optimization advances in electric power systems

Table of Contents: “…Unreliability Costs -- 3.5. Proposed Algorithms -- 3.5.1. ES and TS Algorithms -- 3.5.2. …”
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The post-screen through virtual reality, holograms and light projections : where screen boundaries lie by Ng, Jenna

Table of Contents: “…(Remix) True Holograms: A Different Kind of Screen -- A Different Kind of Ghost -- Screens and Ghosts, or, the Window and the Guy in the Basement -- True Holograms -- A Different Kind of Screen: Brains, Nerves, Thought -- A Different Kind of Ghost: "A Memory, A Daydream, A Secret," or, Digital Apparitions -- 5. …”
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Machine, industry and manufacturing based on applied-information technology iv : selected, peer reviewed papers from the 2014 4th International Conference on Mechanical Engineering...

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Parallel Computing : Accelerating Computational Science and Engineering (CSE). by Bader, M.

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Artificial intelligence for big data : complete guide to automating big data solutions using artificial intelligence techniques. by Deshpande, Anand

Table of Contents: “…Snowball stemming -- Lancaster stemming -- Lovins stemming -- Dawson stemming -- Lemmatization -- N-grams -- Feature extraction -- One hot encoding -- TF-IDF -- CountVectorizer -- Word2Vec -- CBOW -- Skip-Gram model -- Applying NLP techniques -- Text classification -- Introduction to Naive Bayes' algorithm -- Random Forest -- Naive Bayes' text classification code example -- Implementing sentiment analysis -- Frequently asked questions -- Summary -- Chapter 7: Fuzzy Systems -- Fuzzy logic fundamentals -- Fuzzy sets and membership functions -- Attributes and notations of crisp sets -- Operations on crisp sets -- Properties of crisp sets -- Fuzzification -- Defuzzification -- Defuzzification methods -- Fuzzy inference -- ANFIS network -- Adaptive network -- ANFIS architecture and hybrid learning algorithm -- Fuzzy C-means clustering -- NEFCLASS -- Frequently asked questions -- Summary -- Chapter 8: Genetic Programming -- Genetic algorithms structure -- KEEL framework -- Encog machine learning framework -- Encog development environment setup -- Encog API structure -- Introduction to the Weka framework -- Weka Explorer features -- Preprocess -- Classify -- Attribute search with genetic algorithms in Weka -- Frequently asked questions -- Summary -- Chapter 9: Swarm Intelligence -- Swarm intelligence -- Self-organization -- Stigmergy -- Division of labor -- Advantages of collective intelligent systems -- Design principles for developing SI systems -- The particle swarm optimization model -- PSO implementation considerations -- Ant colony optimization model -- MASON Library -- MASON Layered Architecture -- Opt4J library -- Applications in big data analytics -- Handling dynamical data -- Multi-objective optimization -- Frequently asked questions -- Summary -- Chapter 10: Reinforcement Learning -- Reinforcement learning algorithms concept.…”
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Data clustering in C++ : an object-oriented approach by Gan, Guojun, 1979-

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Mastering machine learning with scikit-learn : learn to implement and evaluate machine learning solutions with scikit-learn by Hackeling, Gavin

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