Search Results - (((((((ant OR arts) OR vian) OR data) OR cantor) OR anne) OR walted) OR wanting) algorithms.

An introduction to statistical computing : a simulation-based approach by Voss, Jochen

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Mathematical methods in computer aided geometric design II

Table of Contents: “…Box Spline Decomposition; 5. Data Reduction by Decomposition; References; Chapter 11. …”
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Finding the Forest in the Trees : the Challenge of Combining Diverse Environmental Data. by Staff, National Research Council

Table of Contents: “…""VARIABLES MEASURED AND SOURCES OF DATA""""DATA MANAGEMENT AND INTERFACING""; ""Timeliness of Data Acquisition""; ""Accessibility of Data""; ""Data Quality and Verification""; ""Data Retention""; ""Data Documentation""; ""Importance of the Crop Calendar""; ""Definition of Users of Crop Modeling Results""; ""Creation of New Algorithms and Data Management Procedures""; ""Accommodation of Users' Needs for Crop Yield Estimates""; ""Interfacing of Disparate Databases""; ""Institutional and Political Constraints""; ""LESSONS LEARNED""; ""REFERENCES""…”
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Knowledge discovery for business information systems

Table of Contents: “…Pruning Techniques and The FPM Algorithm -- 4. Metrics for Data Skewness and Workload Balance -- 5. …”
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Deep Learning : From Big Data to Artificial Intelligence with R. by Tuffery, Stephane S.

Table of Contents: “…3.1 General -- 3.2 The Optimization Algorithms -- 3.3 Complexity Reduction and Penalized Regression -- 3.4 Ensemble Methods -- 3.4.1 Bagging -- 3.4.2 Random Forests -- 3.4.3 Extra-Trees -- 3.4.4 Boosting -- 3.4.5 Gradient Boosting Methods -- 3.4.6 Synthesis of the Ensemble Methods -- 3.5 Support Vector Machines -- 3.6 Recommendation Systems -- Notes -- Chapter 4 Natural Language Processing -- 4.1 From Lexical Statistics to Natural Language Processing -- 4.2 Uses of Text Mining and Natural Language Processing -- 4.3 The Operations of Textual Analysis -- 4.3.1 Textual Data Collection…”
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Principles of Quantum Computation and Information, Volume I : Basic Concepts. by Casati, Giulio, Strini, Giuliano

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Mathematics and computation in imaging science and information processing

Table of Contents: “…Further Reading; Acknowledgements; References; Data Hiding -- Theory and Algorithms Pierre Moulin and Ralf Koetter; 1. …”
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Recent advances in hybrid metaheuristics for dataclustering

Table of Contents: “…1.9.2 PSO-Based Fuzzy Clustering -- 1.9.3 Ant Colony Optimization-Based Fuzzy Clustering -- 1.9.4 Artificial Bee Colony Optimization-Based Fuzzy Clustering -- 1.9.5 Differential Evolution-Based Fuzzy Clustering -- 1.9.6 Firefly Algorithm-Based Fuzzy Clustering -- 1.10 Conclusion -- References -- Chapter 2 Hybrid Harmony Search Algorithm to Solve the Feature Selection for Data Mining Applications -- 2.1 Introduction -- 2.2 Research Framework -- 2.3 Text Preprocessing -- 2.3.1 Tokenization -- 2.3.2 Stop Words Removal -- 2.3.3 Stemming -- 2.3.4 Text Document Representation…”
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Programming the Finite Element Method. by Smith, I. M.

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Apache Spark Quick Start Guide : Quickly Learn the Art of Writing Efficient Big Data Applications with Apache Spark. by Mehrotra, Shrey

Table of Contents: “…MicrobatchDStreams; Streaming architecture; Streaming example; Machine learning; MLlib; ML; Graph processing; GraphX; mapVertices; mapEdges; subgraph; GraphFrames; degrees; subgraphs; Graph algorithms; PageRank; Summary; Chapter 8: Spark Optimizations; Cluster-level optimizations; Memory; Disk; CPU cores; Project Tungsten; Application optimizations; Language choice; Structured versus unstructured APIs; File format choice; RDD optimizations; Choosing the right transformations; Serializing and compressing ; Broadcast variables; DataFrame and dataset optimizations; Catalyst optimizer; Storage…”
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Just Enough R! : an Interactive Approach to Machine Learning and Analytics. by Roiger, Richard J.

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Can markets compute equilibria? by Monroe, Hunter K.

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Heuristics in analytics : a practical perspective of what influences our analytical world by Reis Pinheiro, Carlos Andre, 1940-, McNeill, Fiona

Table of Contents: “…Chapter 3: The Heuristic Approach and Why We Use It Heuristics in Computing; Heuristic Problem-Solving Methods; Genetic Algorithms: A Formal Heuristic Approach; Foundation of Genetic Algorithms; Initialization; Selection; Reproduction; Termination; Pseudo-Code Algorithm; Benefits of Genetic Algorithms; Influences in Competitive Industries; Genetic Algorithms Solving Business Problems; Summary; Chapter 4: The Analytical Approach; Introduction to Analytical Modeling; The Competitive-Intelligence Cycle; Data; Information; Knowledge; Intelligence; Experience; Summary.…”
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The potential impact of high-end capability computing on four illustrative fields of science and engineering

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Computational Approaches in Cheminformatics and Bioinformatics. by Guha, Rajarshi

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Cryptography 101 : From Theory to Practice. by Oppliger, Rolf

Table of Contents: “…Intro -- Cryptography 101: From Theory to Practice -- Contents -- Foreword -- Preface -- References -- Acknowledgments -- Chapter 1 Introduction -- 1.1 CRYPTOLOGY -- 1.2 CRYPTOGRAPHIC SYSTEMS -- 1.2.1 Classes of Cryptographic Systems -- 1.2.2 Secure Cryptographic Systems -- 1.3 HISTORICAL BACKGROUND INFORMATION -- 1.4 OUTLINE OF THE BOOK -- References -- Chapter 2 Cryptographic Systems -- 2.1 UNKEYED CRYPTOSYSTEMS -- 2.1.1 Random Generators -- 2.1.2 Random Functions -- 2.1.3 One-Way Functions -- 2.1.4 Cryptographic Hash Functions -- 2.2 SECRET KEY CRYPTOSYSTEMS -- 2.2.1 Pseudorandom Generators -- 2.2.2 Pseudorandom Functions -- 2.2.3 Symmetric Encryption -- 2.2.4 Message Authentication -- 2.2.5 Authenticated Encryption -- 2.3 PUBLIC KEY CRYPTOSYSTEMS -- 2.3.1 Key Establishment -- 2.3.2 Asymmetric Encryption Systems -- 2.4 FINAL REMARKS -- References -- Part I UNKEYEDC RYPTOSYSTEMS -- Chapter 3 Random Generators -- 3.1 INTRODUCTION -- 3.2 REALIZATIONS AND IMPLEMENTATIONS -- 3.2.1 Hardware-Based Random Generators -- 3.2.2 Software-Based Random Generators -- 3.2.3 Deskewing Techniques -- 3.3 STATISTICAL RANDOMNESS TESTING -- References -- Chapter 4 Random Functions -- 4.1 INTRODUCTION -- 4.2 IMPLEMENTATION -- 4.3 FINAL REMARKS -- Chapter 5 One-Way Functions -- 5.1 INTRODUCTION -- 5.2 CANDIDATE ONE-WAY FUNCTIONS -- 5.2.1 Discrete Exponentiation Function -- 5.2.2 RSA Function -- 5.2.3 Modular Square Function -- 5.3 INTEGER FACTORIZATION ALGORITHMS -- 5.3.1 Special-Purpose Algorithms -- 5.3.2 General-Purpose Algorithms -- 5.3.3 State of the Art -- 5.4 ALGORITHMS FOR COMPUTING DISCRETE LOGARITHMS -- 5.4.1 Generic Algorithms -- 5.4.2 Nongeneric (Special-Purpose) Algorithms -- 5.4.3 State of the Art -- 5.5 ELLIPTIC CURVE CRYPTOGRAPHY -- 5.6 FINAL REMARKS -- References -- Chapter 6 Cryptographic Hash Functions -- 6.1 INTRODUCTION.…”
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Computing : a Historical and Technical Perspective. by Igarashi, Yoshihide

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Intelligence emerging : adaptivity and search in evolving neural systems by Downing, Keith L.

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Learning Geospatial Analysis with Python - Second Edition. by Lawhead, Joel

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An introduction to computational engineering with Matlab by Yang, Xin-She

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