Search Results - (((((((ant OR dkantea) OR want) OR data) OR cantor) OR anne) OR halten) OR patterns) algorithms.

Kernel methods for pattern analysis by Shawe-Taylor, John

Table of Contents: “…Cover; Half-title; Title; Copyright; Contents; Code fragments; Preface; 1 Pattern analysis; 2 Kernel methods: an overview; 3 Properties of kernels; 4 Detecting stable patterns; 5 Elementary algorithms in feature space; 6 Pattern analysis using eigen-decompositions; 7 Pattern analysis using convex optimisation; 8 Ranking, clustering and data visualisation; 9 Basic kernels and kernel types; 10 Kernels for text; 11 Kernels for structured data: strings, trees, etc.; 12 Kernels from generative models; Appendix A Proofs omitted from the main text; A.1 Proof of McDiarmid's theorem.…”
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Pattern Recognition. by Theodoridis, Sergios

Table of Contents: “…Front Cover; Pattern Recognition; Copyright Page; Contents; Preface; Chapter 1 Introduction; Chapter 2 Classifiers Based on Bayes Decision Theory; Chapter 3 Linear Classifiers; Chapter 4 Nonlinear Classifiers; Chapter 5 Feature Selection; Chapter 6 Feature Generation I: Data Transformation and Dimensionality Reduction; Chapter 7 Feature Generation II; Chapter 8 Template Matching; Chapter 9 Context-Dependent Classification; Chapter 10 Supervised Learning: The Epilogue; Chapter 11 Clustering: Basic Concepts; Chapter 12 Clustering Algorithms I: Sequential Algorithms.…”
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Fundamental Data Compression. by Pu, Ida Mengyi

Table of Contents: “…Introduction; Chapter 2. Coding symbolic data; Chapter 3. Run-length algorithms; Chapter 4. …”
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Open Data Structures : an Introduction. by Morin, Pat

Subjects: “…Data structures.…”
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Data Mining Algorithms : Explained Using R. by Cichosz, Pawel

Table of Contents: “…1.4.1 Target function1.4.2 Training set; 1.4.3 Model; 1.4.4 Performance; 1.4.5 Generalization; 1.4.6 Overfitting; 1.4.7 Algorithms; 1.5 Clustering; 1.5.1 Motivation; 1.5.2 Training set; 1.5.3 Model; 1.5.4 Crisp vs. soft clustering; 1.5.5 Hierarchical clustering; 1.5.6 Performance; 1.5.7 Generalization; 1.5.8 Algorithms; 1.5.9 Descriptive vs. predictive clustering; 1.6 Practical issues; 1.6.1 Incomplete data; 1.6.2 Noisy data; 1.7 Conclusion; 1.8 Further readings; References; Chapter 2 Basic statistics; 2.1 Introduction; 2.2 Notational conventions; 2.3 Basic statistics as modeling.…”
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Meta-Algorithmics : Patterns for Robust, Low Cost, High Quality Systems. by Simske, Steven J.

Table of Contents: “…2.4.4 Meta-algorithmics and Data Collection2.4.5 Meta-algorithmics and Software Development; 2.5 Summary; References; 3 Domain Areas: Where Are These Relevant?…”
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Derivatives algorithms. Volume 1, Bones by Hyer, Tom

Table of Contents: “…Platform. 2.6. Some design patterns. 2.7. Optimization. 2.8. Threads -- 3. Types and interfaces. 3.1. …”
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Data Clustering : Algorithms and Applications. by Aggarwal, Charu C.

Table of Contents: “…Front Cover; Contents; Preface; Editor Biographies; Contributors; Chapter 1: An Introduction to Cluster Analysis; Chapter 2: Feature Selection for Clustering: A Review; Chapter 3: Probabilistic Models for Clustering; Chapter 4: A Survey of Partitional and Hierarchical Clustering Algorithms; Chapter 5: Density-Based Clustering; Chapter 6: Grid-Based Clustering; Chapter 7: Nonnegative Matrix Factorizations for Clustering: A Survey; Chapter 8: Spectral Clustering; Chapter 9: Clustering High-Dimensional Data; Chapter 10: A Survey of Stream Clustering Algorithms; Chapter 11: Big Data Clustering.…”
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Responsible Data Science : transparency and fairness in algorithms / by Fleming, Grant

Table of Contents: “…Data-Centric Models 20 -- Holdout Sample and Cross-Validation 20 -- Overfitting 21 -- Unsupervised Learning 22 -- The Ethical Challenge of Black Boxes 23 -- Two Opposing Forces 24 -- Pressure for More Powerful AI 24 -- Public Resistance and Anxiety 24 -- Summary 25 -- Chapter 2 Background: Modeling and the Black-Box Algorithm 27 -- Assessing Model Performance 27 -- Predicting Class Membership 28 -- The Rare Class Problem 28 -- Lift and Gains 28 -- Area Under the Curve 29 -- AUC vs. …”
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Ant Colony Optimization and Constraint Programming. by Solnon, Christine

Table of Contents: “…Constraint programming; 1.1.2. Ant colony optimization; 1.1.3. Constraint programming with ant colony optimization; Chapter 2. …”
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Advanced Data Structures and Algorithms : Learn How to Enhance Data Processing with More Complex and Advanced Data Structures. by A, Abirami

Subjects: “…Computer algorithms.…”
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C++ Data Structures and Algorithms : Learn how to write efficient code to build scalable and robust applications in C++. by Anggoro, Wisnu

Table of Contents: “…Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Learning Data Structures and Algorithms in C++; Technical requirements; Introduction to basic C++; Creating your first code in C++; Enhancing code development experience with IDE; Defining the variables using fundamental data types; Controlling the flow of the code; Conditional statement; Loop statement; Leveraging the variable capability using advanced data types; Developing abstract data types; Applying C++ classes to build user-defined ADTs; Playing with templates.…”
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Combining pattern classifiers : methods and algorithms / by Kuncheva, Ludmila I. (Ludmila Ilieva), 1959-

Table of Contents: “…-- Notes -- Acknowledgements -- 1 Fundamentals of Pattern Recognition -- 1.1 Basic Concepts: Class, Feature, Data Set -- 1.2 Classifier, Discriminant Functions, Classification Regions -- 1.3 Classification Error and Classification Accuracy -- 1.4 Experimental Comparison of Classifiers -- 1.5 Bayes Decision Theory -- 1.6 Clustering and Feature Selection -- 1.7 Challenges of Real-Life Data -- Appendix…”
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Conceptual data modeling and database design : a fully algorithmic approach / by Mancas, Christian

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Ideals, Varieties, and Algorithms : an Introduction to Computational Algebraic Geometry and Commutative Algebra by Cox, David, Little, John, O'Shea, Donal

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Bistatic SAR data processing algorithms / by Qiu, Xiaolan

Table of Contents: “…3.2 Radar Equation of Bistatic SAR3.3 Spatial Resolution of Bistatic SAR; 3.4 Summary; References; Chapter 4: Echo Simulation of Bistatic SAR; 4.1 Introduction; 4.2 Traditional Monostatic SAR Raw Data Simulation; 4.3 Raw Data Simulation for Translational Invariant Bistatic SAR; 4.4 Summary; References; Chapter 5: Imaging Algorithms for Translational Invariant Bistatic SAR; 5.1 Introduction; 5.2 Imaging Algorithms Based on Monostatic Transform; 5.3 Imaging Algorithms Based on Range History Simplification; 5.4 Imaging Algorithms Based on Analytical Explicit Spectrums.…”
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Beginning Java data structures and algorithms : sharpen your problem solving skills by learning core computer science concepts in a pain-free manner / by Cutajar, James

Table of Contents: “…Beginning Java data structures and algorithms : sharpen your problem solving skills by learning core computer science concepts in a pain-free manner -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Algorithms and Complexities -- Chapter 2: Sorting Algorithms and Fundamental Data Structures -- Chapter 3: Hash Tables and Binary Search Trees -- Chapter 4: Algorithm Design Paradigms -- Chapter 5: String Matching Algorithms -- Chapter 6: Graphs, Prime Numbers, and Complexity Classes -- Other Books You May Enjoy -- Index.…”
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Genetic Algorithms + Data Structures = Evolution Programs / by Michalewicz, Zbigniew

Subjects: “…Algorithms.…”
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C# Data Structures and Algorithms : Explore the possibilities of C# for developing a variety of efficient applications. by Jamro, Marcin

Table of Contents: “…Prim's algorithmExample -- telecommunication cable; Coloring; Example -- voivodeship map; Shortest path; Example -- game map; Summary; Chapter 7: Summary; Classification of data structures; Diversity of applications; Arrays; Lists; Stacks; Queues; Dictionaries; Sets; Trees; Heaps; Graphs; The last word; Other Books You May Enjoy; Index.…”
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Data Structure and Algorithm with C by Pal, Debdutta

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