Learning Planar Ising Models
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| Author | : Boris Kryzhanovsky |
| Publisher | : Springer |
| Total Pages | : 353 |
| Release | : 2018-10-06 |
| Genre | : Technology & Engineering |
| ISBN | : 3030013286 |
This book describes new theories and applications of artificial neural networks, with a special focus on addressing problems in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XX International Conference on Neuroinformatics, held in Moscow, Russia on October 8–12, 2018.
| Author | : John Palmer |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 377 |
| Release | : 2007-06-15 |
| Genre | : Mathematics |
| ISBN | : 0817646205 |
Steady progress in recent years has been made in understanding the special mathematical features of certain exactly solvable models in statistical mechanics and quantum field theory, including the scaling limits of the 2-D Ising (lattice) model, and more generally, a class of 2-D quantum fields known as holonomic fields. New results have made it possible to obtain a detailed nonperturbative analysis of the multi-spin correlations. In particular, the book focuses on deformation analysis of the scaling functions of the Ising model, and will appeal to graduate students, mathematicians, and physicists interested in the mathematics of statistical mechanics and quantum field theory.
| Author | : |
| Publisher | : Elsevier |
| Total Pages | : 706 |
| Release | : 2019-10-16 |
| Genre | : Mathematics |
| ISBN | : 0444641416 |
Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2, Volume 20, surveys the contemporary developments relating to the analysis and learning of images, shapes and forms, covering mathematical models and quick computational techniques. Chapter cover Alternating Diffusion: A Geometric Approach for Sensor Fusion, Generating Structured TV-based Priors and Associated Primal-dual Methods, Graph-based Optimization Approaches for Machine Learning, Uncertainty Quantification and Networks, Extrinsic Shape Analysis from Boundary Representations, Efficient Numerical Methods for Gradient Flows and Phase-field Models, Recent Advances in Denoising of Manifold-Valued Images, Optimal Registration of Images, Surfaces and Shapes, and much more. - Covers contemporary developments relating to the analysis and learning of images, shapes and forms - Presents mathematical models and quick computational techniques relating to the topic - Provides broad coverage, with sample chapters presenting content on Alternating Diffusion and Generating Structured TV-based Priors and Associated Primal-dual Methods
| Author | : David Barber |
| Publisher | : Cambridge University Press |
| Total Pages | : 739 |
| Release | : 2012-02-02 |
| Genre | : Computers |
| ISBN | : 0521518148 |
A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.
| Author | : |
| Publisher | : |
| Total Pages | : 706 |
| Release | : 2015 |
| Genre | : Physics |
| ISBN | : |
| Author | : Trevor Hastie |
| Publisher | : CRC Press |
| Total Pages | : 354 |
| Release | : 2015-05-07 |
| Genre | : Business & Economics |
| ISBN | : 1498712177 |
Discover New Methods for Dealing with High-Dimensional DataA sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help recover the underl
| Author | : Bernhard Schölkopf |
| Publisher | : MIT Press |
| Total Pages | : 1668 |
| Release | : 2007 |
| Genre | : Artificial intelligence |
| ISBN | : 0262195682 |
The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. This volume contains the papers presented at the December 2006 meeting, held in Vancouver.
| Author | : Iwao Teraoka |
| Publisher | : John Wiley & Sons |
| Total Pages | : 374 |
| Release | : 2019-02-14 |
| Genre | : Science |
| ISBN | : 1119375282 |
This textbook introduces chemistry and chemical engineering students to molecular descriptions of thermodynamics, chemical systems, and biomolecules. Equips students with the ability to apply the method to their own systems, as today's research is microscopic and molecular and articles are written in that language Provides ample illustrations and tables to describe rather difficult concepts Makes use of plots (charts) to help students understand the mathematics necessary for the contents Includes practice problems and answers
| Author | : E. Brzin |
| Publisher | : World Scientific |
| Total Pages | : 1154 |
| Release | : 1993 |
| Genre | : Science |
| ISBN | : 9789810204563 |
This book contains an edited comprehensive collection of reprints on the subject of the large N limit as applied to a wide spectrum of problems in quantum field theory and statistical mechanics. The topics include (1) Spin Systems; (2) Large N Limit of Gauge Theories; (3) Two-Dimensional QCD; (4) Exact Results on Planar Perturbation Series and the Nature of the 1/N Series; (5) Schwinger-Dyson Equations Approach; (6) QCD Phenomenological Lagrangians and the Large N Limit; (7) Other Approaches to Large N: Eguchi-Kawai Model, Collective Fields and Numerical Methods; (8) Matrix Models; (9) Two-Dimensional Gravity and String Theory.
| Author | : Sebastian Nowozin |
| Publisher | : Now Publishers Inc |
| Total Pages | : 195 |
| Release | : 2011 |
| Genre | : Computers |
| ISBN | : 1601984561 |
Structured Learning and Prediction in Computer Vision introduces the reader to the most popular classes of structured models in computer vision.
