Search Results - (((((((kent OR wkant) OR wantsa) OR markant) OR cantor) OR anne) OR slave) OR hints) algorithms.

Tolerance graphs by Golumbic, Martin Charles

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Pediatric Sensorineural Hearing Loss : Clinical Diagnosis and Management. by Anne, Samantha

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Deterministic Network Calculus. by Bouillard, Anne

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Nuclear reactor physics and engineering by Lee, John C., 1941-

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In the tradition of Ahlfors and Bers : proceedings of the First Ahlfors-Bers Colloquium, Ahlfors-Bers Colloquium, November 6-8, 1998, State University of New York at Stony Brook

Table of Contents: “…Coverings of Cantor sets /…”
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Theory of computational complexity by Du, Dingzhu, Ko, Ker-I

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Fuzzy systems and data mining III : proceedings of FSDM 2017

Table of Contents: “…Fuzzy Control and Algorithms --…”
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Artificial neural networks in biological and environmental analysis by Hanrahan, Grady

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Women in Numbers 2 : research directions in number theory : BIRS Workshop, WIN2 - Women in Numbers 2, November 6-11, 2011, Banff International Research Station, Banff, Alberta, Can... by David, Chantal, 1964-, Lalín, Matilde, 1977-, Manes, Michelle, 1970-

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

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The Princeton companion to mathematics

Table of Contents: “…Algorithms ;…”
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In the tradition of Ahlfors-Bers. V : the triennial Ahlfors-Bers Colloquium, May 8-11, 2008, Rutgers University, Newark, New Jersey

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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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Obstetric and intrapartum emergencies : a practical guide to management

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When life is linear : from computer graphics to bracketology by Chartier, Timothy P.

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Navigation signal processing for GNSS software receivers by Pany, Thomas

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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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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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Media and the affective life of slavery by Page, Allison, 1983-

Table of Contents: “…Introduction: Racial formation and post-civil rights governance -- "The restless Black peril" : race, television documentary, and emotion -- Feeling slavery : roots and pedagogies of emotion -- Choosing freedom : empathy and agency -- "How many slaves work for you? Algorithmic governance and guilt -- Conclusion. …”
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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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