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An overview of recent efforts in the machine learning community to deal with dataset and covariate shift, which occurs when test and training inputs and outputs have different distributions.Dataset shift is a common problem in predictive modeling that occurs when the joint distribution of inputs and outputs differs between training and test stages. Covariate shift, a particular case of dataset shift, occurs when only the input distribution changes. Dataset shift is present in most practical applications, for reasons ranging from the bias introduced by experimental design to the irreproducibility of the testing conditions at training time. (An example is -email spam filtering, which may fail to recognize spam that differs in form from the spam the automatic filter has been built on.) Despite this, and despite the attention given to the apparently similar problems of semi-supervised learning and active learning, dataset shift has received relatively little attention in the machine learning community until recently. This volume offers an overview of current efforts to deal with dataset and covariate shift. The chapters offer a mathematical and philosophical introduction to the problem, place dataset shift in relationship to transfer learning, transduction, local learning, active learning, and semi-supervised learning, provide theoretical views of dataset and covariate shift (including decision theoretic and Bayesian perspectives), and present algorithms for covariate shift.ContributorsShai Ben-David, Steffen Bickel, Karsten Borgwardt, Michael Brückner, David Corfield, Amir Globerson, Arthur Gretton, Lars Kai Hansen, Matthias Hein, Jiayuan Huang, Choon Hui Teo, Takafumi Kanamori, Klaus-Robert Müller, Sam Roweis, Neil Rubens, Tobias Scheffer, Marcel Schmittfull, Bernhard Schölkopf Hidetoshi Shimodaira, Alex Smola, Amos Storkey, Masashi Sugiyama

The exponential growth in information technologies has resulted in an explosion in the need for data storage with increased speed and reliability. These requirements have caused rapid development of complex magnetic materials and structures. The rate of technology development has led to a situation where the performance envelope of new materials is not fully known until the materials are fabricated into devices. In response to this, the focus of this book, first published in 2001, is not only on magnetic materials, but also on techniques and technology associated with device fabrication. The work presented in this book effectively spans the range of the myriad of information storage research from concept to product. Topics include: patterned magnetic recording media; characterization of magnetic thin films and structures; magnetic tunnel junctions and spin-dependent transport; GMR and spin valves; media/GMR/CMR; writer materials and characteristics; and magnetic structure processing techniques.

Since the first edition of this book was published seven years ago, the field of modeling and simulation of communication systems has grown and matured in many ways, and the use of simulation as a day-to-day tool is now even more common practice. With the current interest in digital mobile communications, a primary area of application of modeling and simulation is now in wireless systems of a different flavor from the `traditional' ones. This second edition represents a substantial revision of the first, partly to accommodate the new applications that have arisen. New chapters include material on modeling and simulation of nonlinear systems, with a complementary section on related measurement techniques, channel modeling and three new case studies; a consolidated set of problems is provided at the end of the book.

Papers comprising this volume were presented at the first IEEE Conference on [title] held in Denver, Co., Nov. 1987. As the limits of the digital computer become apparent, interest in neural networks has intensified. Ninety contributions discuss what neural networks can do, addressing topics that in

Acceptable/Fair condition. Book is worn, but the pages are complete, and the text is legible. Has wear to binding and pages, may be ex-library. 1.56

Images are all around us! The proliferation of low-cost, high-quality imaging devices has led to an explosion in acquired images. When these images are acquired from a microscope, telescope, satellite, or medical imaging device, there is a statistical image processing task: the inference of something—an artery, a road, a DNA marker, an oil spill—from imagery, possibly noisy, blurry, or incomplete. A great many textbooks have been written on image processing. However this book does not so much focus on images, per se, but rather on spatial data sets, with one or more measurements taken over a two or higher dimensional space, and to which standard image-processing algorithms may not apply. There are many important data analysis methods developed in this text for such statistical image problems. Examples abound throughout remote sensing (satellite data mapping, data assimilation, climate-change studies, land use), medical imaging (organ segmentation, anomaly detection), computer vision (image classification, segmentation), and other 2D/3D problems (biological imaging, porous media). The goal, then, of this text is to address methods for solving multidimensional statistical problems. The text strikes a balance between mathematics and theory on the one hand, versus applications and algorithms on the other, by deliberately developing the basic theory (Part I), the mathematical modeling (Part II), and the algorithmic and numerical methods (Part III) of solving a given problem. The particular emphases of the book include inverse problems, multidimensional modeling, random fields, and hierarchical methods.

Infochemistry: Information Processing at the Nanoscale, defines a new field of science, and describes the processes, systems and devices at the interface between chemistry and information sciences. The book is devoted to the application of molecular species and nanostructures to advanced information processing. It includes the design and synthesis of suitable materials and nanostructures, their characterization, and finally applications of molecular species and nanostructures for information storage and processing purposes. Divided into twelve chapters; the first three chapters serve as an introduction to the basic concepts of digital information processing, its development, limitations and finally introduces some alternative concepts for prospective technologies. Chapters four and five discuss traditional low-dimensional metals and semiconductors and carbon nanostructures respectively, while further chapters discuss Photoelectrochemical photocurrent switching and related phenomena and self-organization and self-assembly. Chapters eight, nine and ten discuss information processing at the molecular level, and eleven describes information processing in natural systems. The book concludes with a discussion of the future prospects for the field. Further topics: Traditional electronic device development is rapidly approaching a limit, so molecular scale information processing is critical in order to meet increasing demand for high computational power Characterizes chemical systems not according to their chemical nature, but according to their role as prospective information technology elements Covers the application of molecular species and nanostructures as molecular scale logic gates, switches, memories, and complex computing devices This book will be of particular interest to researchers in nanoelectronics, organic electronics, optoelectronics, chemistry and materials science.

This book covers all main aspects of guidance information processing technologies for airborne optical imaging seekers, including theoretical models; image pre-processing; automatic target detection, recognition and tracking; and embedded real-time processing systems. The book is divided into three major sections: firstly, a theoretical model for optical-seeker information processing is introduced; then information processing methods are presented, including target modeling, online image pre-processing, typical surface fixed-target detection and recognition, and moving-target detection and recognition; lastly, embedded real-time processing systems are introduced, including new system architectures, image processing ASIC/SoC design, embedded real-time operating systems, system implementation aspects, and system testing and evaluation technologies. The book offers a unique and valuable resource, helping readers understand both fundamental and advanced information processing technologies employed in airborne optical imaging seekers. 

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.37

The exponential growth in information technologies has resulted in an explosion in the need for data storage with increased speed and reliability. These requirements have caused rapid development of complex magnetic materials and structures. The rate of technology development has led to a situation where the performance envelope of new materials is not fully known until the materials are fabricated into devices. In response to this, the focus of this book, first published in 2001, is not only on magnetic materials, but also on techniques and technology associated with device fabrication. The work presented in this book effectively spans the range of the myriad of information storage research from concept to product. Topics include: patterned magnetic recording media; characterization of magnetic thin films and structures; magnetic tunnel junctions and spin-dependent transport; GMR and spin valves; media/GMR/CMR; writer materials and characteristics; and magnetic structure processing techniques.

Images are all around us! The proliferation of low-cost, high-quality imaging devices has led to an explosion in acquired images. When these images are acquired from a microscope, telescope, satellite, or medical imaging device, there is a statistical image processing task: the inference of something—an artery, a road, a DNA marker, an oil spill—from imagery, possibly noisy, blurry, or incomplete. A great many textbooks have been written on image processing. However this book does not so much focus on images, per se, but rather on spatial data sets, with one or more measurements taken over a two or higher dimensional space, and to which standard image-processing algorithms may not apply. There are many important data analysis methods developed in this text for such statistical image problems. Examples abound throughout remote sensing (satellite data mapping, data assimilation, climate-change studies, land use), medical imaging (organ segmentation, anomaly detection), computer vision (image classification, segmentation), and other 2D/3D problems (biological imaging, porous media). The goal, then, of this text is to address methods for solving multidimensional statistical problems. The text strikes a balance between mathematics and theory on the one hand, versus applications and algorithms on the other, by deliberately developing the basic theory (Part I), the mathematical modeling (Part II), and the algorithmic and numerical methods (Part III) of solving a given problem. The particular emphases of the book include inverse problems, multidimensional modeling, random fields, and hierarchical methods.

A detailed examination of systems that convey information via an electro-optical beam for use in such areas as remote sensing, guidance, and tracking, and for fiber optic and laser communication systems. Following a systems-oriented approach and reflecting the latest developments and advances in electro-optical engineering, this work is an expanded and extensively revised version of the author's highly regarded 1987 Radiometric system design . Annotation copyright Book News, Inc. Portland, Or.

This monograph focuses on exploring game theoretic modeling and mechanism design for problem solving in Internet and network economics. For the first time, the main theoretical issues and applications of mechanism design are bound together in a single text.

"Herman Hollerith: Forgotten Giant of Information Processing" by Geoffrey D. Austrian is a thoroughly enjoyable and well-written biography of this quintessential pioneer in the data processing field. Austrian does a fine job of developing Hollerith's character as well as telling the story of his accomplishments, while masterfully blending in the history of the computer industry (up until 1982). A definitive, well-documented biography, sure to please both the casual reader as well as the avid history buff.

Volume I was corrected and revised in September 2017. This book begins the task of defining, explaining, arguing for, and, in the end, providing a rationale for information processing. Volume I is concerned with the notion that an information processor is mainly engaged in making inferences. An information processor would prefer to reach definite conclusions by using some form of deduction. Unfortunately, it is often thwarted in this desire by a fundamental lack of relevant information. Probability theory has developed as a rigorous way of dealing with the uncertainty surrounding inference. Thus, we begin by treating some of the formal manipulation rules that crop up in probability theory. To provide some foundational basis for the applications to appear in later Volumes, the topics of Boolean Algebra, Classical Logic, and Cellular Automata will make an appearance here.

Psi and the Mind: An Information Processing Approach (Parapsychology) [Hardcover]