Search Results - (((((((want OR manthe) OR find) OR mantis) OR cantor) OR anne) OR halted) OR wanting) algorithms.

Graph structure theory : proceedings of the AMS-IMS-SIAM Joint Summer Research Conference on Graph Minors, held June 22 to July 5, 1991, with support from the National Science Foun...

Table of Contents: “…Knots and braids: some algorithmic questions /…”
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The economics of artificial intelligence : an agenda

Table of Contents: “…5. Finding Needles in Haystacks: Artificial Intelligence and Recombinant Growth /…”
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Taming the unknown : a history of algebra from antiquity to the early twentieth century by Katz, Victor J., Parshall, Karen Hunger, 1955-

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RF Positioning : Fundamentals, Applications, and Tools. by Campos, Rafael Saraiva

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Madman at Kilifi by Gachagua, Clifton

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Case Studies in Bayesian Statistical Modelling and Analysis.

Table of Contents: “…Metropolis-Hastings algorithms --…”
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Optimization theory and related topics : Israel mathematical conference proceedings : a workshop in memory of Dan Butnariu, January 11-14, 2010, Haifa, Israel

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Handbook of performability engineering

Table of Contents: “…HALT and HASS Overview: The New Quality and Reliability Paradigm /…”
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When life is linear : from computer graphics to bracketology by Chartier, Timothy P.

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Interactive displays : natural human interface technologies

Table of Contents: “…Find Relevant Information /…”
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F♯ for Machine Learning Essentials. by Mukherjee, Sudipta

Table of Contents: “…; Summary; Chapter 2: Linear Regression; Objective; Different types of linear regression algorithms; APIs used; Math.NET Numerics for F♯ 3.7.0; Getting Math.NET; Experimenting with Math.NET; The basics of matrices and vectors (a short and sweet refresher); Creating a vector; Creating a matrix; Finding the transpose of a matrix; Finding the inverse of a matrix; Trace of a matrix; QR decomposition of a matrix; SVD of a matrix; Linear regression method of least square.…”
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Media technologies : essays on communication, materiality, and society

Table of Contents: “…Bowker -- "What Do We Want?" "Materiality!" "When Do We Want It?" "Now!" …”
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Pattern discovery in biomolecular data : tools, techniques, and applications

Table of Contents: “…Discovering patterns in DNA sequences by the algorithmic significance method / Aleksandar Milosavljevic -- Assembling blocks / Jorja G. …”
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Artificial neural systems : principle and practice by Lorrentz, Pierre

Table of Contents: “…INTRODUCTIONDENSITY BASED ALGORITHMS: CLUSTERING ALGORITHMS; NATURE-BASED ALGORITHMS; Evolutionary Algorithm and Programming ; Genetic Algorithm; GA Operators; APPLICATIONS OF GENETIC ALGORITHM; NETWORK METHOD: EDGES AND NODES; MULTI-LAYERED PERCEPTRON; REAL-TIME APPLICATIONS OF STATE-OF-THE-ART ANN SYSTEMS; DEFINITION OF ARTIFICIAL NEURAL NETWORKS (ANN); Intelligence; An Artificial Neural Network (ANN) system; PERFORMANCE MEASURES; Receiver's Operating Characteristics (ROC); Hypothesis Testing; Chi-squared (Goodness-of-fit) Test; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES…”
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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

Table of Contents: “…; Clustering data with K-Means algorithm; Estimating the number of clusters with Mean Shift algorithm; Estimating the quality of clustering with silhouette scores; What are Gaussian Mixture Models?…”
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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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DataFlow supercomputing essentials : research, development and education

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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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Python unlocked : become more fluent in Python--learn strategies and techniques for smart and high-performance Python programming by Tigeraniya, Arun

Table of Contents: “…Method resolution orderSuper's superpowers; Using language protocols in classes; Iteration protocol; Context manager protocol; Using abstract classes; Summary; Chapter 3: Functions and Utilities; Defining functions; Decorating callables; Utilities; Summary; Chapter 4: Data Structures and Algorithms; Python built-in data structures; Python library data structures; Third party data structures; Arrays/List; Binary tree; Sorted containers; Trie; Algorithms on scale; Summary; Chapter 5: Elegance with Design Patterns; Observer pattern; Strategy pattern; Singleton pattern; Template pattern.…”
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Compressed sensing : theory and applications

Table of Contents: “…Graphical models concepts in compressed sensing / Andrea Montanari -- 10. Finding needles in compressed haystacks / Robert Calderbank and Sina Jafarpour -- 11. …”
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