Search Results - (((((((want OR span) OR antti) OR makent) OR cantor) OR anne) OR shared) OR hints) algorithms.

Navigation signal processing for GNSS software receivers by Pany, Thomas

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Mastering machine learning with scikit-learn : learn to implement and evaluate machine learning solutions with scikit-learn by Hackeling, Gavin

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Machine learning : a Bayesian and optimization perspective by Theodoridis, Sergios, 1951-

Table of Contents: “…Probability and stochastic processes -- Learning in parametric modeling: basic concepts and directions -- Mean-square error linear estimation -- Stochastic gradient descent: the LMS algorithm -- The least-squares family -- Classification: a tour of the classics -- Parameter learning: a convex analytic path -- Sparsity-aware learning: concepts and theoretical foundations -- Sparcity-aware learning: algorithms and applications -- Learning in reproducing Kernel Hilbert spaces -- Bayesian learning: inference and the EM alogrithm -- Bayesian learning: approximate inference and nonparametric models -- Monte Carlo methods -- Probabilistic graphical models: Part I -- Probabilistic graphical models: Part II -- Particle filtering -- Neural networks and deep learning -- Dimensionality reduction -- Appendix A LInear algebra -- Appendix B Probability theory and statistics -- Appendix C Hints on constrained optimization.…”
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Steiner tree problems in computer communication networks by Du, Dingzhu

Table of Contents: “…Steinerized minimum spanning tree algorithm. 6.3. 3-restricted Steiner Tree algorithm. 6.4. …”
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Vortex dominated flows : a volume celebrating Lu Ting's 80th birthday

Table of Contents: “…Circular Discrepancy and a Monte Carlo Algorithm for Generating a Low Circular Discrepancy Sequence; 2 . …”
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Handbook of Computational Geometry. by Sack, J. R.

Table of Contents: “…Making geometry visible: An introduction to the animation of geometric algorithmsChapter 9. Spanning trees and spanners; Chapter 10. …”
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Modeling Reality : How Computers Mirror Life. by Białynicki-Birula, Iwo

Table of Contents: “…Contents; 1 From building blocks to computers: Models and modeling; 2 The game of life: A legendary cellular automaton; 3 Heads or tails: Probability of an event; 4 Galton's board: Probability and statistics; 5 Twenty questions: Probability and information; 6 Snowflakes: The evolution of dynamical systems; 7 The Lorenz butterfly: Deterministic chaos; 8 From Cantor to Mandelbrot: Self-similarity and fractals; 9 Typing monkeys: Statistical linguistics; 10 The bridges of Königsberg: Graph theory; 11 Prisoner's dilemma: Game theory; 12 Let the best man win: Genetic algorithms.…”
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Autonomous mobile robots and multi-robot systems : motion-planning, communication, and swarming

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Mathematical Foundation Of Informatics, The - Proceedings Of The Conference. by Van, Do Long

Table of Contents: “…Preface; Contents; On Growth Function of Petri Net and its Applications Pham Tra An; On an Infinite Hierarchy of Petri Net Languages Pham Tra A n and Pham Van Thao; Algorithms to Test Rational w-Codes Xavier Augros and Igor Litovsky; Distributed Random Walks for an Efficient Design of a Random Spanning Tree Hichem Baala and Marc Bui; Formal Concept Analysis and Rough Set Theory in Clustering Ho Tu Bao; A Simple Heuristic Method for the Min-Cut k-Balanced Partitioning Problem Lelia Blin and Ivan Lavallee; Longest Cycles and Restgraph in Maximal Non-Hamiltonian Graphs Vu Dinh Hoa.…”
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Computational mechanics of discontinua by Munjiza, Antonio A.

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F♯ for Machine Learning Essentials. by Mukherjee, Sudipta

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Text mining : applications and theory

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Scientific computing with multicore and accelerators

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Analytical modeling of wireless communication systems by Chiasserini, C. F. (Carla-Fabiani), Gribaudo, Marco, 1972-, Manini, Daniele

Table of Contents: “…Safety Message Broadcasting -- Modeling Information Sharing -- Cellular Networks. Multi-RAT Algorithms.…”
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What intelligence tests miss : the psychology of rational thought by Stanovich, Keith E., 1950-

Table of Contents: “…Inside George W. Bush's mind : hints at what IQ tests miss -- Dysrationalia : separating rationality and intelligence -- The reflective mind, the algorithmic mind, and the autonomous mind -- Cutting intelligence down to size -- Why intelligent people doing foolish things is no surprise -- The cognitive miser : ways to avoid thinking -- Framing and the cognitive miser -- Myside processing : heads I win, tails I win too! …”
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Intelligent Technologies : From Theory to Applications - The New Trends in Computational Intelligence. by Kvasnicka, V.

Table of Contents: “…Neural Networks; Superconvergence Concept in Machine Learning; Application of the Parallel Population Learning Algorithm to Training Feed-forward ANN; Markovian Architectural Bias of Recurrent Neural Networks; SOFM Training Speedup; Generalized Forecasting Sigma-Pi Neural Network; Human Centered Intelligent Robots Using "Ontological Neural Network"; Trajectory Bounds of Solutions of Delayed Cellular Neural Networks Differential Systems; From Plain to Modular Topology: Automatic Modularization of Structured ANNs.…”
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Handbook of Mathematical Induction. by Gunderson, David S.

Table of Contents: “…Chapter 14: Logic and languageChapter 15: Graphs; Chapter 16: Recursion and algorithms; Chapter 17: Games and recreations; Chapter 18: Relations and functions; Chapter 19: Linear and abstract algebra; Chapter 20: Geometry; Chapter 21: Ramsey theory; Chapter 22: Probability and statistics; Part III: Solutions and hints to exercises; Chapter 23: Solutions: Foundations; Chapter 24: Solutions: Inductive techniques applied to the infinite; Chapter 25: Solutions: Paradoxes and sophisms; Chapter 26: Solutions: Empirical induction; Chapter 27: Solutions: Identities.…”
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Power systems applications of graph theory by Zhu, Jizhong, 1961-

Table of Contents: “…Primal-Dual Algorithm; 4.4. MINIMUM SPANNING TREE; 4.4.1. Prim's Algorithm; 4.4.2. …”
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Artificial intelligence : approaches, tools, and applications

Table of Contents: “…EVOLUTIONARY COMPUTING ; 2.1. Genetic Algorithms ; 2.2. Mechanism of a Genetic Algorithm ; 3. …”
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Advanced Analytics with R and Tableau. by Stirrup, Jen

Table of Contents: “…; How to do Clustering in Tableau; Creating Clusters; Clustering example in Tableau; Creating a Tableau group from cluster results; Constraints on saving Clusters; Interpreting your results; How Clustering Works in Tableau; The clustering algorithm; Scaling; Clustering without using k-means; Hierarchical modeling; Statistics for Clustering; Describing Clusters -- Summary tab; Testing your Clustering.…”
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