Search Results - (((((((kant OR wantsa) OR semantic) OR wint) OR cantor) OR anne) OR line) OR hints) algorithms.

Advanced dynamic-system simulation : model -replication and Monte Carlo Studies by Korn, Granino A. (Granino Arthur), 1922-2013

Table of Contents: “…Delay-Line Model --…”
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Computation and Communication Technologies

Table of Contents: “…Harmony Search Algorithm for PAPR Reduction --…”
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The Princeton companion to mathematics

Table of Contents: “…Algorithms ;…”
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Direct numerical simulations of gas-liquid multiphase flows by Tryggvason, Grétar, Scardovelli, Ruben, Zaleski, S.

Table of Contents: “…Thin films, intermolecular forces, and contact lines --…”
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Mathematical results in quantum mechanics : a conference on QMATH-8, mathematical results in quantum mechanics, Universidad Nacional Autonoma de México, Taxco, México, December 10-...

Table of Contents: “…Comments on adiabatic quantum algorithms /…”
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Acquisition and understanding of process knowledge using problem solving methods by Gómez-Pérez, José Manuel

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

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Life sciences, information sciences

Table of Contents: “…Semantics --…”
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Microbiological sensors for the drinking water industry

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Recent advances in scientific computing and applications : eighth International Conference on Scientific Computing and Applications, April 1-4, 2012, University of Nevada, Las Vega...

Table of Contents: “…Immersed finite element method of lines for moving interface problems with nonhomogeneous flux jump /…”
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Integrated systems engineering : a postprint volume from the IFAC Conference, Baden-Baden, Germany, 27-29 September 1994

Table of Contents: “…An Optimisation-Based Algorithm for Designing Free-Form Trajectories Under Various Constraints /…”
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Proceedings of the Princeton Symposium on Mathematical Programming. by Kuhn, Harold William

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Rationality and decision making : from normative rules to heuristics

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Interactive displays : natural human interface technologies

Table of Contents: “…Gesture Detection Algorithm /…”
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Advances in Knowledge-Based and Intelligent Engineering and Information Systems by Frydman, Claudia

Table of Contents: “…Covers; Editorial advisory board; Guest editorial; Towards semantically-aided domain specific business process modeling; Topological and topical characterisation of Twitter user communities; Selection methods and diversity preservation in many-objective evolutionary algorithms; Towards a common and semantic representation of e-portfolios; Logical foundations of hierarchical model checking…”
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Learning Boost C++ libraries : solve practical programming problems using powerful, portable, and expressive libraries from Boost by Mukherjee, Arindam

Table of Contents: “…Handling command-line argumentsDesigning command-line options; The diff command -- a case study; Using Boost. …”
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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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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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