Search Results - (((((((want OR wkkant) OR semantic) OR when) OR cantor) OR anne) OR shape) OR hints) algorithms.

Rediscovering mathematics : you do the math by Simonson, Shai

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Advanced Methods and Technologies for Agent and Multi-Agent Systems. by Edited by

Table of Contents: “…""Role and Member Selection in Team Formation Using Resource Estimation""""Incorporating Explicit Coordination Mechanisms by Agents to Obtain Green Waves""; ""Communication Leading to Coalition Nash Equilibrium I""; ""Agent-Based Optimization""; ""An Agent-Based Cooperative Population Learning Algorithm for Vehicle Routing Problem with Time Windows""; ""Mobile Agent-based Dynamic Resource Allocation Method for Query Optimization in Data Grid Systems""; ""Memetic Multi-Agent Computing in Difficult Continuous Optimisation""; ""Web Services and Semantic Web""…”
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Visible Business : Uncover the Blindspots and Engage the World's Female Economy. by Brideson, RJ

Table of Contents: “…Blind Spots; Contents; Foreword; About the Author; Acknowledgements; To my community; To my village; Preface; Introduction; Chapter 1 From history to herstory; The birth of business marketing; Things have changed -- or have they?; Women want more; The wo-man algorithm; Become conscious of the bias; From reject to results; Chapter 2 Are you blind?…”
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Numerical methods for viscosity solutions and applications

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DSP with Python Programming. by Charbit, Maurice

Table of Contents: “…Gaussian linear case: Kalman algorithm; 3.5. Discrete finite Markov case; 4 Monte-Carlo Methods; 4.1. …”
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Artificial intelligence with Python : build real-world artificial intelligence applications with Python to intelligently interact with the world around you by Joshi, Prateek

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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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MATLAB for Machine Learning. by Ciaburro, Giuseppe

Table of Contents: “…Multiple linear regression with categorical predictorPolynomial regression; Regression Learner App; Summary; Chapter 5: Pattern Recognition through Classification Algorithms; Predicting a response by decision trees; Probabilistic classification algorithms -- Naive Bayes; Basic concepts of probability; Classifying with Naive Bayes; Bayesian methodologies in MATLAB; Describing differences by discriminant analysis; Find similarities using nearest neighbor classifiers; Classification Learner app; Summary; Chapter 6: Identifying Groups of Data Using Clustering Methods; Introduction to clustering.…”
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Empirical Evaluation Methods in Computer Vision. by Christensen, Henrik I.

Table of Contents: “…Foreword ; Chapter 1 Automated Performance Evaluation of Range Image Segmentation Algorithms ; 1.1. Introduction ; 1.2. Scoring the Segmented Regions ; 1.3. …”
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Reliability in biomechanics by Kharmanda, Ghias, El Hami, Abdelkhalak

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Foundations of constraint satisfaction by Tsang, Edward

Table of Contents: “…Solution synthesis; 9.1 Introduction; 9.2 Freuder's Solution Synthesis Algorithm; 9.3 Seidel's Invasion Algorithm; 9.4 The Essex Solution Synthesis Algorithms; 9.5 When to Synthesize Solutions; 9.6 Concluding Remarks; 9.7 Bibliographical Remarks; Chapter 10. …”
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Signal Design for Modern Radar Systems. by Alaee-Kerahroodi, Mohammad

Table of Contents: “…Intro -- Introduction -- Practical Signal Design -- The Why -- The How -- The What -- Radar Application Focus Areas -- Designing Signals with Good Correlation Properties -- Signal Design to Enhance SINR -- Spectral Shaping and Coexistence with Communications -- Automotive Radar Signal Processing and Sensing for Autonomous Vehicles -- What this Book Offers -- References -- Convex and Nonconvex Optimization -- Optimization Algorithms -- Gradient Descent Algorithm -- Newton's Method -- Mirror Descent Algorithm -- Power Method-Like Iterations -- Majorization-Minimization Framework…”
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Design studies and intelligence engineering

Table of Contents: “…Intro -- Title Page -- Preface -- Contents -- PSIC3839: Predicting the Overall Emotion and Depth of Entire Songs -- Research on Noise Control of Product Symbol Communication Channel-Take a Small Rice Mill for Example -- Towards Better Data Pre-Processing for Building Recipe Recommendation Systems from Industrial Fabric Dyeing Manufacturing Records: Categorization of Coloration Properties for a Dye Combination on Different Fabrics -- A Multi-Robot Planning Algorithm with Quad Tree Map Division for Obstacles of Irregular Shape…”
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Focus on artificial neural networks

Table of Contents: “…ARTIFICIAL NEURAL NETWORKS (ANNS) -- 3. MICROEMULSIONS -- 4. APPLICATION OF ANNS IN THE DEVELOPMENT OF MICROEMULSION DRUG DELIVERY SYSTEMS -- 4.1. …”
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Implementing cryptography using Python by Bray, Shannon, 1972-

Table of Contents: “…Chapter 2 Cryptographic Protocols and Perfect Secrecy -- The Study of Cryptology -- Understanding Cryptography -- Cryptography's Famous Family: Alice and Bob -- Diffie-Hellman -- Data Origin Authentication -- Entity Authentication -- Symmetric Algorithms -- Asymmetric Algorithms -- The Needham-Schroeder Protocols -- The Otway-Rees Protocol -- Kerberos -- Multiple-Domain Kerberos -- X.509 -- Formal Validation of Cryptographic Protocols -- Configuring Your First Cryptographic Library -- Understanding Cryptanalysis -- Brute-Force Attacks -- Side-Channel Attacks -- Social Engineering…”
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Industrial control systems

Table of Contents: “…EXTRACTIVE FERMENTATION PROCESS FOR BIOETHANOL PRODUCTION ; 3. PLANT MODEL BASED ON ANN ; 3.1. ANN Configurations.…”
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Regression Analysis with Python. by Massaron, Luca, Boschetti, Alberto

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Spatial Statistics and Digital Image Analysis.

Table of Contents: “…""Posterior Distribution""""Model Identification""; ""Attribute Estimation""; ""Algorithms""; ""2.4.2 Examples""; ""Image Restoration""; ""Boundary Detection""; ""Single Photon Emission Tomography""; ""Shape-From-Shading""; ""Deformable Templates""; ""Bibliography""; ""3 Oceanographic and Atmospheric Applications of Spatial Statistics and Digital Image Analysis""; ""3.1 INTRODUCTION""; ""3.2 SELECTED ANALYSIS AREAS""; ""3.2.1 Principal Component Analysis""; ""General Concepts""; ""Multispectral Data Application""; ""Multi-Temporal Data Application""…”
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Communicating process architectures 2002. by World Occam And Transputer User Group. Technical Meeting (25th: 2002: University Of Reading, U. K.)

Table of Contents: “…A Communicating Threads (CT) Case Study: JIWYPrioritised Dynamic Communicating Processes -- Part I; Prioritised Dynamic Communicating Processes -- Part II; Implementing a Distributed Algorithm for Detection of Local Knots and Cycles in Directed Graphs; Author Index.…”
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Mathematical Research in Materials Science : Opportunities and Perspectives. by Staff, National Research Council

Table of Contents: “…""STIFF POLYMERS AND LIQUID CRYSTALS""""OTHER PROBLEMS""; ""4 EVOLUTION OF MICROSTRUCTURES""; ""INTRODUCTION""; ""SPINODAL DECOMPOSITION AND NUCLEATION""; ""GRAIN GROWTH AND OTHER INTERFACE MOTION CONTROLLED BY INTERFACE KINETICS""; ""Computer Algorithms""; ""SHAPE EVOLUTION CONTROLLED BY SURFACE DIFFUSION""; ""MORPHOLOGICAL STABILITY""; ""Phase Transformations and Pattern Formation""; ""Dendritic Growth""; ""MUSHY ZONES""; ""PRECIPITATION AND COARSENING""; ""Evolution of Microstructures; Stress and Current Effects""; ""MARTENSITE AND SHAPE-MEMORY MATERIALS""; ""MAGNETIC MATERIALS""…”
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