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Pattern Recognition and Machine Learning - Christopher M. Bishop - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Pattern Recognition and Machine Learning - Christopher M. Bishop - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology - - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Human and Machine Perception - - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Muscular Injuries in the Posterior Leg - - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Muscular Injuries in the Posterior Leg - - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Taking a multidisciplinary approach to a common and often frustrating problem for athletes and those with an active lifestyle, this book is the first of its kind, addressing muscular injuries to the posterior leg using an in-depth and expansive style that is uniquely dedicated to ensuring all content is explicitly linked to the practical care of patients with calf pain. It is divided thematically into three sections. The first section covers underlying principles involved in these issues, including anatomy, physiology, pathophysiology of injury and neurophysiology of musculoskeletal pain. Clinical assessment techniques and imaging are covered in the second section. The third section on treatment is the most expansive, discussing acute, sub-acute and chronic posterior leg muscle injuries, as well as surgical management, rehabilitation techniques, complementary medicine and special populations. Overall, the book is designed to use muscular injuries of the posterior leg to as a means to understand the assessment and treatment of muscular injuries more broadly. Taken together, it is the consummate source for orthopedists, doctors in sports medicine, podiatrists, rehabilitation professionals and primary care physicians who treat muscular injuries in the posterior leg, though reader will gain a conceptual and practical framework for the assessment and treatment of muscular injuries in general.

DKK 434.00
1

Human Body Dynamics - Aydin Tozeren - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Endocannabinoid Signaling - - Bog - Springer-Verlag New York Inc. - Plusbog.dk

All of Statistics - Larry Wasserman - Bog - Springer-Verlag New York Inc. - Plusbog.dk

All of Statistics - Larry Wasserman - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like nonparametric curve estimation, bootstrapping, and clas­ sification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analyzing data. For some time, statistics research was con­ ducted in statistics departments while data mining and machine learning re­ search was conducted in computer science departments. Statisticians thought that computer scientists were reinventing the wheel. Computer scientists thought that statistical theory didn''t apply to their problems. Things are changing. Statisticians now recognize that computer scientists are making novel contributions while computer scientists now recognize the generality of statistical theory and methodology. Clever data mining algo­ rithms are more scalable than statisticians ever thought possible. Formal sta­ tistical theory is more pervasive than computer scientists had realized.

DKK 468.00
1

Hubble Revisited - Daniel Fischer - Bog - Springer-Verlag New York Inc. - Plusbog.dk

The Sun - Claudio Vita Finzi - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Proteases and Cancer - - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Endoscopic Surgery of the Potential Anatomical Spaces - - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Biomedical Text Mining - - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Advanced Calculus - James J. Callahan - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Methods for Analyzing Large Neuroimaging Datasets - - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Extremity Replantation - - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Plant Bioinformatics - - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Allostery - - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Multivariate Reduced-Rank Regression - Kun Chen - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Multivariate Reduced-Rank Regression - Kun Chen - Bog - Springer-Verlag New York Inc. - Plusbog.dk

This book provides an account of multivariate reduced-rank regression, a tool of multivariate analysis that enjoys a broad array of applications. In addition to a historical review of the topic, its connection to other widely used statistical methods, such as multivariate analysis of variance (MANOVA), discriminant analysis, principal components, canonical correlation analysis, and errors-in-variables models, is also discussed. This new edition incorporates Big Data methodology and its applications, as well as high-dimensional reduced-rank regression, generalized reduced-rank regression with complex data, and sparse and low-rank regression methods. Each chapter contains developments of basic theoretical results, as well as details on computational procedures, illustrated with numerical examples drawn from disciplines such as biochemistry, genetics, marketing, and finance. This book is designed for advanced students, practitioners, and researchers, who may deal with moderate and high-dimensional multivariate data. Because regression is one of the most popular statistical methods, the multivariate regression analysis tools described should provide a natural way of looking at large (both cross-sectional and chronological) data sets. This book can be assigned in seminar-type courses taken by advanced graduate students in statistics, machine learning, econometrics, business, and engineering.

DKK 884.00
1

The Elements of Statistical Learning - Jerome Friedman - Bog - Springer-Verlag New York Inc. - Plusbog.dk

The Elements of Statistical Learning - Jerome Friedman - Bog - Springer-Verlag New York Inc. - Plusbog.dk

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book''s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for ``wide'''' data (p bigger than n), including multiple testing and false discovery rates.

DKK 593.00
1

Generalized Principal Component Analysis - Shankar Sastry - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Generalized Principal Component Analysis - Shankar Sastry - Bog - Springer-Verlag New York Inc. - Plusbog.dk

This book provides a comprehensive introduction to the latest advances in the mathematical theory and computational tools for modeling high-dimensional data drawn from one or multiple low-dimensional subspaces (or manifolds) and potentially corrupted by noise, gross errors, or outliers. This challenging task requires the development of new algebraic, geometric, statistical, and computational methods for efficient and robust estimation and segmentation of one or multiple subspaces. The book also presents interesting real-world applications of these new methods in image processing, image and video segmentation, face recognition and clustering, and hybrid system identification etc. This book is intended to serve as a textbook for graduate students and beginning researchers in data science, machine learning, computer vision, image and signal processing, and systems theory. It contains ample illustrations, examples, and exercises and is made largely self-contained with three Appendices which survey basic concepts and principles from statistics, optimization, and algebraic-geometry used in this book. René Vidal is a Professor of Biomedical Engineering and Director of the Vision Dynamics and Learning Lab at The Johns Hopkins University. Yi Ma is Executive Dean and Professor at the School of Information Science and Technology at ShanghaiTech University. S. Shankar Sastry is Dean of the College of Engineering, Professor of Electrical Engineering and Computer Science and Professor of Bioengineering at the University of California, Berkeley.

DKK 481.00
1

Reviews of Plasma Physics - - Bog - Springer-Verlag New York Inc. - Plusbog.dk

Reviews of Plasma Physics - - Bog - Springer-Verlag New York Inc. - Plusbog.dk

In the interest of speed and economy the notation of the original text has been retained so that the cross product of two vectors A and B is denoted by [AB], the dot product by (AB) , the Laplacian operator by . 6" etc. It might also be worth pointing out that the temperature is frequently expressed in energy units in the Soviet literature so that the Boltzmann constant will be missing in various familiar expressions. In matters of terminology, whenever possible several forms are used when a term is first introduced, e. g. , magnetoacoustic and magnetosonic waves, "probkotron" and mirror machine, etc. It is hoped in this way to help the reader to relate the terms used here with those in exist­ ing translations and with the conventional nomenclature. In general, in the bibliographies, when a translated version of a given citation is available, only the English translation is cited, unless reference is made to a specific portion of the Russian version. Except for the correction of some obvious misprints the text is that of the original. We wish to express our gratitude to Academician Leontovich for kindly providing the latest corrections and additions to the Russian text, and especially for some new material, which appears for the first time in the American edition. v CONTENTS Chapter 1 PLASMA CONFINEMENT IN CLOSED MAGNETIC SYSTEMS L. S. Solov''ev and V. D. Shafranov . . . . . . . . . . . . . . . . . . 1 § 1. Introduction. . . • . . . . . . . . . . . . . . . . . . . . . . • . . . . . . . 1 § 2. General Properties of Toroidal Configurations. . . . . . . . . . . .

DKK 663.00
1

The Self-Induced Oscillations of Rotors - Mikhail Y. Kushul - Bog - Springer-Verlag New York Inc. - Plusbog.dk

The Self-Induced Oscillations of Rotors - Mikhail Y. Kushul - Bog - Springer-Verlag New York Inc. - Plusbog.dk

The rapid increase in operating speeds of mechanisms and machines during the last few decades has posed mechanical and technical engineers aseries of new problems. One of these is that of the investigation of the dynamics of flexible rotors operating at speeds greater than the first- and higher-order critical speeds. In con­ temporary machine design we must cope with various machines and assemblies containing shafts which operate under such conditions: turbogenerators. gas and steam turbines. spinning shafts. high-capacity pumps, and a multitude of special-purpose machines. One of the problems in the dynamics of flexible rotors-the passage through the resonance state-has re­ cently been almost completely solved in the work of Yu. A. Mitropol''skii. F. M. Dirnentberg, V. O. Kononenko. A. P. Fillippov. and others. Much less attention has been devoted to two other interrelated problems in the dynamics of high-speed rotors: the loss of stability in regime-combining forced vibrations due to imbalance in the supercritical region, along with self-induced or self-exc1ted vibrations. These problems are rapidly becoming more important as self-induced vibrations occurring at speeds beyond the critical speed are being met with more and more often in practice [1-3]. One of the main causes for the loss of stability of a rotor in the supercritical region. as was first estab­ lished by Kimball in [4] and Newkirk in [5] during the ninteen-twenties, is the force due to interna1 friction.

DKK 663.00
1