The publication of W. Pauli's Scientific Correspondence by Springer-Verlag has motivated a vast research activity on Pauli's role in modern science. This excellent treatise sheds light on the ongoing dialogue between physics and psychology.

The publication of W. Pauli's Scientific Correspondence by Springer-Verlag has motivated a vast research activity on Pauli's role in modern science. This excellent treatise sheds light on the ongoing dialogue between physics and psychology.

The pioneering work of Nobel prize-winning physicist Wolfgang Pauli led to developing the bombs that decimated Hiroshima and Nagasaki. Desperate over this outcome, Pauli sought help from the eminent depth psychologist, C. G. Jung. Their long correspondence provides the powerful and unique record of a mature scientist's inner journey. It also has had a tremendous impact on scientific and psychological thought ever since. Pauli and Jung is a lucid interpretation of Pauli's ideas and dreams that forcefully validates his belief in the inseparable union of science and spirituality. Far ahead of their time, Wolfgang Pauli and C. G. Jung both knew this union is essential for the future of humanity and the survival of the planet.

In an attempt to introduce application scientists and graduate students to the exciting topic of positive definite kernels and radial basis functions, this book presents modern theoretical results on kernel-based approximation methods and demonstrates their implementation in various settings. The authors explore the historical context of this fascinating topic and explain recent advances as strategies to address long-standing problems. Examples are drawn from fields as diverse as function approximation, spatial statistics, boundary value problems, machine learning, surrogate modeling and finance. Researchers from those and other fields can recreate the results within using the documented MATLAB code, also available through the online library. This combination of a strong theoretical foundation and accessible experimentation empowers readers to use positive definite kernels on their own problems of interest.

ÒAn ideal historical theology, or even an introduction to it, Ò says Geoffrey Bromiley, Òlies beyond the limits of human possibility.Ó And he does not intend this volume to be an all-inclusive theological study about everybody and everything. Rather, Òthis work is composed for beginners, for inquirers, for those who know nothing or very little of the history of theology, but who want to know something, or something more.

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vector machines. Consisting of 21 chapters authored by leading researchers in machine learning, this comprehensive reference: Covers the relationship between support vector machines (SVMs) and the Lasso Discusses multi-layer SVMs Explores nonparametric feature selection, basis pursuit methods, and robust compressive sensing Describes graph-based regularization methods for single- and multi-task learning Considers regularized methods for dictionary learning and portfolio selection Addresses non-negative matrix factorization Examines low-rank matrix and tensor-based models Presents advanced kernel methods for batch and online machine learning, system identification, domain adaptation, and image processing Tackles large-scale algorithms including conditional gradient methods, (non-convex) proximal techniques, and stochastic gradient descent Regularization, Optimization, Kernels, and Support Vector Machines is ideal for researchers in machine learning, pattern recognition, data mining, signal processing, statistical learning, and related areas.

This is a comprehensive introduction to Support Vector Machines, a generation learning system based on advances in statistical learning theory.

Secure your CISSP certification! If you’re a security professional seeking your CISSP certification, this book is a perfect way to prepare for the exam. Covering in detail all eight domains, the expert advice inside gives you the key information you'll need to pass the exam. Plus, you'll get tips on setting up a 60-day study plan, tips for exam day, and access to an online test bank of questions. CISSP For Dummies is fully updated and reorganized to reflect upcoming changes (ISC)2 has made to the Common Body of Knowledge. Complete with access to an online test bank this book is the secret weapon you need to pass the exam and gain certification. Get key information for all eight exam domains Find test-taking and exam-day tips and tricks Benefit from access to free online practice questions and flash cards Prepare for the CISSP certification in 2018 and beyond You’ve put in the time as a security professional—and now you can reach your long-term goal of CISSP certification.

Approach your problems from the right end It isn't that they can't see the solution. It is and begin with the answers. Then one day, that they can't see the problem. perhaps you will find the final question. G. K. Chesterton. The Scandal of Father 'The Hermit Oad in Crane Feathers' in R. Brown 'The point of a Pin'. van Gulik's The Chinese Maze Murders. Growing specialization and diversification have brought a host of monographs and textbooks on increasingly specialized topics. However, the "tree" of knowledge of mathematics and related fields does not grow only by putting forth new branches. It also happens, quite often in fact, that branches which were thought to be completely disparate are suddenly seen to be related. Further, the kind and level of sophistication of mathematics applied in various sciences has changed drastically in recent years: measure theory is used (non-trivially) in regional and theoretical economics; algebraic geometry interacts with physics; the Minkowsky lemma, coding theory and the structure of water meet one another in packing and covering theory; quantum fields, crystal defects and mathematical programming profit from homotopy theory; Lie algebras are relevant to filtering; and prediction and electrical engineering can use Stein spaces. And in addition to this there are such new emerging subdisciplines as "experimental mathematics", "CFD", "completely integrable systems", "chaos, synergetics and large-scale order", which are almost impossible to fit into the existing classification schemes. They draw upon widely different sections of mathematics.