Search Results - (((((((want OR wpanting) OR span) OR mantis) OR cantor) OR anne) OR carter) OR wanting) algorithms.

Visual Data Mining : The VisMiner Approach. by Anderson, Russell K.

Table of Contents: “…Regression Analysis -- The Regression Model -- Correlation and Causation -- Algorithms for Regression Analysis -- Assessing Regression Model Performance -- Model Validity -- Looking Beyond R2 -- Polynomial Regression -- Artificial Neural Networks for Regression Analysis -- Dataset Preparation -- Tutorial -- A Regression Model for Home Appraisal -- Modeling with the Right Set of Observations -- Exercise 6.1 -- ANN Modeling -- The Advantage of ANN Regression -- Top-Down Attribute Selection -- Issues in Model Interpretation -- Model Validation -- Model Application -- Summary…”
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Advanced Analytics with R and Tableau. by Stirrup, Jen

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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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Optimization techniques and applications with examples by Yang, Xin-She

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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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Fundamentals of Matrix Analysis with Applications. by Saff, Edward Barry

Table of Contents: “…Fixed-Point Methods -- PART II INTRODUCTION: THE STRUCTURE OF GENERAL SOLUTIONS TO LINEAR ALGEBRAIC EQUATIONS -- Chapter 3 Vector Spaces -- 3.1 General Spaces, Subspaces, and Spans -- 3.2 Linear Dependence -- 3.3 Bases, Dimension, and Rank -- 3.4 Summary -- Chapter 4 Orthogonality -- 4.1 Orthogonal Vectors and the Gram-Schmidt Algorithm -- 4.2 Orthogonal Matrices -- 4.3 Least Squares -- 4.4 Function Spaces…”
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Media Backends : Digital Infrastructures and Sociotechnical Relations. by Parks, Lisa

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Computational ecology : graphs, networks and agent-based modeling by Zhang, Wenjun

Table of Contents: “…Trees and planar graphs -- 5. Algorithms of graphs -- 6. Directed graphs -- Part II. …”
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Mastering Scala machine learning by Kozlov, Alexander

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Numerical Methods for Eigenvalue Problems. by Börm, Steffen

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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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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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Insight into Theoretical and Applied Informatics : Introduction to Information Technologies and Computer Science. by Yatsko, Andrzej

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Principles of data integration by Doan, AnHai

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Generalized Network Design Problems : Modeling and Optimization. by Pop, Petrică C.

Table of Contents: “…Preface; 1 Introduction; 1.1 Combinatorial optimization and integer programming; 1.2 Complexity theory; 1.3 Heuristic and relaxation methods; 1.4 Generalized network design problems; 2 The Generalized Minimum Spanning Tree Problem (GMSTP); 2.1 Definition and complexity of the GMSTP; 2.2 An exact algorithm for the GMSTP; 2.3 Mathematical models of the GMSTP; 2.3.1 Formulations based on tree properties; 2.3.2 Formulations based on arborescence properties; 2.3.3 Flow based formulations; 2.3.4 A model based on Steiner tree properties; 2.3.5 Local-global formulation of the GMSTP.…”
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Topographical Tools for Filtering and Segmentation 2 : Flooding and Marker-Based Segmentation on Node- or Edge-weighted Graphs. by Meyer, Fernand

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Principles of Quantum Computation and Information, Volume I : Basic Concepts. by Casati, Giulio, Strini, Giuliano

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Building Machine Learning Systems with Python. by Richert, Willi

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Java Data Mining - Strategy, Standard, and Practice : a Practical Guide for architecture, design, and implementation. by Hornick, Mark F.

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