Search Results - ("algorithm" OR "algorithms")

Fast sequential Monte Carlo methods for counting and optimization by Rubinstein, Reuven Y.

Table of Contents: “…4.3 Splitting Algorithm with Fixed Levels4.4 Adaptive Splitting Algorithm; 4.5 Sampling Uniformly on Discrete Regions; 4.6 Splitting Algorithm for Combinatorial Optimization; 4.7 Enhanced Splitting Method for Counting; 4.8 Application of Splitting to Reliability Models; 4.9 Numerical Results with the Splitting Algorithms; 4.10 Appendix: Gibbs Sampler; Chapter 5: Stochastic Enumeration Method; 5.1 Introduction; 5.2 OSLA Method and Its Extensions; 5.3 SE Method; 5.4 Applications of SE; 5.5 Numerical Results; Appendix A: Additional Topics; A.1 Combinatorial Problems; A.2 Information.…”
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Domain Decomposition Methods in Science and Engineering : Proceedings of the Seventh International Conference on Domain Decomposition October 27-30, 1993, the Pennsylvania State U... by Keyes, David E.

Table of Contents: “…Theory""; ""Interpolation spaces and optimal multilevel preconditioners""; ""Two-level additive Schwarz preconditioners for nonconforming finite elements""; ""Two proofs of convergence for the combination technique for the efficient solution of sparse grid problems""; ""Domain decomposition rnethods for monotone nonlinear elliptic problems""; ""Cascadic conjugate gradient methods for elliptic partial differential equations: Algorithm and numerical results""…”
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Fundamentals of Computational Intelligence : Neural Networks, Fuzzy Systems, and Evolutionary Computation. by Keller, James M.

Table of Contents: “…2.3.2 Constructing Learning Rules -- 2.3.3 Unified Learning Rule -- 2.3.4 Training Multiple-Neuron Perceptrons -- 2.3.4.1 Problem Statement -- 2.4 The Perceptron Convergence Theorem -- 2.5 Computer Experiment Using Perceptrons -- 2.6 Activation Functions -- 2.6.1 Threshold Function -- 2.6.2 Sigmoid Function -- Exercises -- Chapter 3: Multilayer Neural Networks and Backpropagation -- 3.1 Universal Approximation Theory -- 3.2 The Backpropagation Training Algorithm -- 3.2.1 The Description of the Algorithm -- 3.2.2 The Strategy for Improving the Algorithm…”
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Gabor and wavelet frames

Table of Contents: “…Feichtinger, Franz Luef and Tobias Werther -- Some iterative algorithms to compute canonical window for Gabor frames / A.J.E.M. …”
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Quantum Computation And Quantum Information Theory : Reprint Volume with Introductory Notes for ISI TMR Network School. by Zeilinger, A.

Table of Contents: “…2.4 Going Beyond Bell's Theorem 2.5 What is Wrong with These Elements of Reality -- 2.6 Observation of Three-Photon Greenberger-Horne-Zeilinger Entanglement -- Quantum Algorithms -- 3. Quantum Algorithms -- 3.1 An Overview of Quantum Computing -- 3.2 On Quantum Algorithms…”
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Artificial Intelligence in Semiconductor Industry - Materials to Applications. by Wee, Hui-Ming

Table of Contents: “…Cover -- Guest editorial -- Efficient VLSI architecture for FIR filter design using modified differential evolution ant colony optimization algorithm -- Optimized DA-reconfigurable FIR filters for software defined radio channelizer applications -- Grid -- connected operation and performance of hybrid DG having PV and PEMFC -- High speed data encryption technique with optimized memory based RSA algorithm for communications -- A 10-bit 200 MS/s pipelined ADCwith parallel sampling and switched op-amp sharing technique…”
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RSSI-Based Environment Monitoring and Accurate Event Detection by Brockmann, Falk

Table of Contents: “…Velocity estimation in Wireless Sensor NetworksAnalysed Techniques; RSSI-based Techniques; Alert Magnitude-based Techniques; Alert Magnitude Set-based Techniques; Summary; BLE-based Presence Detection for Waiting Lines; BLE Radio Links in RF-based Queueing Systems; Challenges in using BLE for Presence Detection; BLE-based Detection Algorithm Design; RSSI Variance Based Technique; Mean RSSI-based Technique; Summary; CutiQueue Prototype Queueing System; Communication Utility Queue; Design of the CutiQueue Prototype Queueing System; BLE-Based Detection; Data Transfer; CutiQueue Algorithm…”
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Optimisation Solutions in Systems by Rubio, Fernando

Table of Contents: “…Cover; EDITORIAL ADVISORY BOARD; Introduction to the special issue on optimisation solutions in systems; Swarm hybrid optimization for a piecewise model fitting applied to a glucose model; Minimizing area of VLSI power distribution networks using river formation dynamics; An energy-efficient VM placement method for cloud data centers using a hybrid genetic algorithm; Hybrid differential evolution algorithms for the optimal camera placement problem; Breakout variable neighbourhood search for the minimum interference frequency assignment problem…”
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Comprehensive Ruby Programming. by Hudgens, Jordan

Table of Contents: “…Implementing a prime number counting algorithm -- How to code the power digit sum algorithm -- Implementing a humanize counting algorithm -- Implementing a date algorithm -- How to code a Fibonacci digit counter -- Implementing a permutation algorithm -- Implementing an amicable number algorithm -- Implementing a factorial algorithm -- Implementing an even Fibonacci number algorithm -- Implementing the least common multiple -- Summary -- Chapter 19: Machine Learning -- Big data analysis -- Basic decision tree implementation -- Addition of attributes -- Addition of training data and its values -- Calling the ID3 method -- Function of the train method -- Addition of the test method -- Setting up decision variables -- Print the results out -- Testing the program -- Advantage of decision trees over if ... else statements -- How to develop a big data analysis application in Ruby -- Summary -- Index.…”
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Stochastic Models in Reliability Engineering. by Cui, Lirong

Table of Contents: “…4.3.1 Run and Phrase -- 4.3.2 Multi-State Compression Algorithm -- 4.4 Proposed Multi-State Inference Algorithm -- 4.4.1 Rules for Calculating Intermediate Variables -- 4.4.2 Proposed Multi-State Inference Algorithm -- 4.5 Case Study -- 4.5.1 Case Background -- 4.5.2 Calculation and Analysis -- 4.6 Summary -- Appendix A -- Appendix B -- References -- Chapter 5 Reliability Analysis of Demand-Based Warm Standby System with Multi-State Common Bus -- 5.1 Introduction -- 5.2 Model Description for a DBWSS with Multi-State Common Bus Performance Sharing…”
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Pattern classification using ensemble methods by Rokach, Lior

Table of Contents: “…Introduction to Pattern Classification; 1.1 Pattern Classification; 1.2 Induction Algorithms; 1.3 Rule Induction; 1.4 Decision Trees; 1.5 Bayesian Methods; 1.5.1 Overview.; 1.5.2 Naıve Bayes; 1.5.2.1 The Basic Naıve Bayes Classifier; 1.5.2.2 Naıve Bayes Induction for Numeric Attributes; 1.5.2.3 Correction to the Probability Estimation; 1.5.2.4 Laplace Correction; 1.5.2.5 No Match; 1.5.3 Other Bayesian Methods; 1.6 Other Induction Methods; 1.6.1 Neural Networks; 1.6.2 Genetic Algorithms; 1.6.3 Instance-based Learning; 1.6.4 Support Vector Machines…”
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Recent Advances in Optimization and Inverse Problems in Electromagnetism by Sykulski, Jan

Table of Contents: “…Cover; EDITORIAL ADVISORY BOARD; Guest editorial; Single voxel approach for Lorentz force evaluation; Sensitivity studies andoptimization of arrangements of optically pumped magnetometers in simulated magnetoencephalography; Sensitivity analysis using Sobol indices for the thermal modelling of an electrical machine for sizing by optimization; Improvements of bat algorithm using crossover technique and hybridization with Nelder-Mead simplex method; Dot sensitivity analysis of ferromagnetic materials for topology optimization in an axi-symmetricmagnetostatic system…”
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Python : Expert Machine Learning Systems and Intelligent Agents Using Python. by Bonaccorso, Giuseppe

Table of Contents: “…Conditional probabilities and Bayes' theoremBayesian networks; Sampling from a Bayesian network; Direct sampling; Example of direct sampling; A gentle introduction to Markov chains; Gibbs sampling; Metropolis-Hastings sampling; Example of Metropolis-Hastings sampling; Sampling example using PyMC3; Hidden Markov Models (HMMs); Forward-backward algorithm; Forward phase; Backward phase; HMM parameter estimation; Example of HMM training with hmmlearn; Viterbi algorithm; Finding the most likely hidden state sequence with hmmlearn; Summary; Chapter 5: EM Algorithm and Applications…”
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Computers and information processing technologies I : selected, peer reviewed papers from the 2014 International Conference on Computers and Information Processing Technologies (IC...

Table of Contents: “…The MPI and OpenMP Implementation of Parallel Algorithm for Generating Mandelbrot SetAdaptive Congestion Control via Dynamic Output Feedback; An Advanced ECC Dynamic Password-Based Remote Authentication Scheme for Cloud Computing; An Audio Hiding Algorithm Based on Spline Interpolation and Wavelet Transform; Evaluation Method for Anti-Interference Performance of Measuring Based on Entropy Loss; RE-Based Weighted Distributed Equipment Layout; Algorithms of Mining Maximum Frequent Itemsets Based on Compression Matrix; A Secret Sharing Scheme on Access Structure.…”
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Numerical Methods of Statistics. by Monahan, John F.

Table of Contents: “…12 Statistical Methods for Integration and Monte Carlo13 Markov Chain Monte Carlo Methods; 14 Sorting and Fast Algorithms; Author Index; Subject Index.…”
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COVID 19, Monitoring with IoT Devices. by Nagaraj, Ambika

Table of Contents: “…OVERVIEW OF THE BOOK -- CONCLUSION -- REFERENCES -- Supervised Learning Algorithms -- 2.1. INTRODUCTION -- 2.2. SUPERVISED LEARNING ALGORITHMS -- 2.2.1. …”
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Anaphora Resolution. by Mitkov, Ruslan

Table of Contents: “…4.1 Early work in anaphora resolution4.2 Student; 4.3 Shrdlu; 4.4 Lunar; 4.5 Hobbs's naïve approach; 4.5.1 The algorithm; 4.5.2 Evaluation of Hobbs' s algorithm; 4.6 The BFP algorithm; 4.7 Carter's shallow processing approach; 4.8 Rich and LuperFoy's distributed architecture; 4.9 Carbonell and Brown's multi-strategy approach; 4.10 Other work; 4.11 Summary; Chapter Five: The present: knowledge-poor and corpus-based approaches in the 1990s and beyond; 5.1 Main trends in recent anaphora resolution research; 5.2 Collocation patterns-based approach; 5.3 Lappin and Leass's algorithm; 5.3.1 Overview.…”
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Critical Care Medicine at a Glance. by Leach, Richard M.

Table of Contents: “…9: Fluid management: pathophysiological factors -- Fluid administration -- Aims of fluid administration -- Factors affecting fluid and electrolyte administration -- 10: Fluid management: assessment and prescription -- Assessment (algorithm 1) -- Resuscitation (algorithm 2) -- Routine maintenance (algorithm 3) -- Replacement and/or redistribution (algorithm 4) -- General fluid management -- Types of fluid -- 11: Fluid management: fluid choice -- Fluid choice -- 12: Inotropes and vasopressors -- 13: Failure of oxygenation and respiratory failure -- 14: Oxygenation and oxygen therapy…”
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Deterministic global optimization : an introduction to the diagonal approach by Sergeyev, Yaroslav D., 1963-, Kvasov, Dmitri E.

Table of Contents: “…3.1 General Diagonal Scheme3.2 Analysis of Traditional Diagonal Partition Schemes; 3.3 Non-redundant Diagonal Partition Strategy; 4 Global Optimization Algorithms Based on the Non-redundant Partitions ; 4.1 Multiple Estimates of the Lipschitz Constant; 4.2 Derivative-Free Diagonal Method MultL; 4.2.1 Theoretical Background of MultL: Lower Bounds; 4.2.2 Theoretical Background of MultL: Finding Non-dominated Hyperintervals; 4.2.3 Description of the MultL Algorithm and its Convergence Analysis; 4.3 One-Point-Based Method MultK for Differentiable Problems.…”
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Computational fluid and solid mechanics 2003 : proceedings, Second MIT Conference on Computational Fluid and Solid Mechanics, June 17-20, 2003

Table of Contents: “…Plenary Papers, Algorithms, Multiphysics, Fluids, Optimization and Design, Bio-Engineering Science, Solids and Structures.…”
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