Support Vector Machines Jordan, Michael; Kleinberg, Jon; Schölkopf, Bernhard
2008, 20080702
eBook
This book explains the principles that make support vector machines (SVMs) a successful modelling and prediction tool for a variety of applications. The authors present the basic ideas of SVMs ...together with the latest developments and current research questions in a unified style. They identify three reasons for the success of SVMs: their ability to learn well with only a very small number of free parameters, their robustness against several types of model violations and outliers, and their computational efficiency compared to several other methods. The book provides a unique in-depth treatment of both fundamental and recent material on SVMs that so far has been scattered in the literature. The book can thus serve as both a basis for graduate courses and an introduction for statisticians, mathematicians, and computer scientists. It further provides a valuable reference for researchers working in the field. The book covers all important topics concerning support vector machines such as: loss functions and their role in the learning process, reproducing kernel Hilbert spaces and their properties, a thorough statistical analysis that uses both traditional uniform bounds and more advanced localized techniques based on Rademacher averages and Talagrand's inequality, a detailed treatment of classification and regression, a detailed robustness analysis, and a description of some of the most recent implementation techniques. To make the book self-contained, an extensive appendix is added which provides the reader with the necessary background from statistics, probability theory, functional analysis, convex analysis, and topology.
"In modern economies, time series play a crucial role at all levels of activity. They are used by decision makers to plan for a better future, by governments to promote prosperity, by central banks ...to control inflation, by unions to bargain for higher wages, by hospital, school boards, manufacturers, builders, transportation companies, and by consumers in general. A common misconception is that time series data originate from the direct and straightforward compilations of survey data, censuses, and administrative records. On the contrary, before publication time series are subject to statistical adjustments intended to facilitate analysis, increase efficiency, reduce bias, replace missing values, correct errors, and satisfy cross-sectional additivity constraints. Some of the most common adjustments are benchmarking, interpolation, temporal distribution, calendarization, and reconciliation. This book discusses the statistical methods most often applied for such adjustments, ranging from ad hoc procedures to regression-based models. The latter are emphasized, because of their clarity, ease of application, and superior results. Each topic is illustrated with many real case examples. In order to facilitate understanding of their properties and limitations of the methods discussed, a real data example, the Canada Total Retail Trade Series, is followed throughout the book. This book brings together the scattered literature on these topics and presents them using a consistent notation and a unifying view. The book will promote better procedures by large producers of time series, e.g. statistical agencies and central banks. Furthermore, knowing what adjustments are made to the data and what technique is used and how they affect the trend, the business cycles and seasonality of the series, will enable users to perform better modeling, prediction, analysis and planning. This book will prove useful to graduate students and final year undergraduate students of time series and econometrics, as well as researchers and practitioners in government institutions and business. From the reviews: ""It is an excellent reference book for people working in this area."" B. Abraham for Short Book Reviews of the ISI, December 2006"
More than ever, American industry- especially the semiconductor industry- is using statistical methods to improve its competitive edge in the world market. It is becoming more imperative that ...graduate engineers have solid statistical know-how, yet engineers in industry typically are not well-prepared to use statistics and they are fuzzy about how to apply statistical tools and techniques. This valuable reference makes statistical methods easier and more accessible to engineers.Although the book can be read sequentially, like a normal textbook, it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem. It contains the following features:* Covers all major topics treated in a standard college engineering statistics course, but minimizes the mathematical derivations and focuses on practical applications * Uses real data sets/case studies taken from electronics, electrical engineering, and other engineering fields, such as mechanical and chemical engineering* Contains numerous software examples using the powerful statistical functions of ExcelIn addition, the book provides an "engineering problem solver" section that directs the reader to the relevant section of the book for the problem they are trying to solve..
* Filled with practical techniques directly applicable on the job* Contains hundreds of solved problems and case studies, using real data sets* Avoids unnecessary theory
This handbook is an update of an earlier publication on monitoring the availability and use of obstetric services issued by UNICEF WHO and UNFPA in 1997. The indicators defined within the publication ...have been used by ministries of health, international agencies and program managers in over 50 countries around the world. This revision incorporates changes based on monitoring and assessment conducted worldwide and the emerging evidence on the topic over the years and has been agreed by an international panel of experts. It includes two new indicators and an additional signal function with updated evidence and new resources. This handbook describes the indicators and gives guidance on conducting studies for people working in the field. It includes a list of life-saving services or signal functions, that define a health facility with regard to its capacity to treat obstetric emergencies. The emphasis is on actual, rather than theoretical functioning. The emergency obstetric care indicators described in this handbook can be used to measure progress in a programmatic continuum: from the availability of and access to emergency obstetric care to the use and quality of those services.
This volume was prepared to share with a larger audience the exciting ideas and work presented at an ICML 2006 workshop of the same title. Network models have a long history. Sociologists and ...statisticians made major advances in the 1970s and 1980s, culminating in part with a number of substantial databases and the class of exponential random graph models and related methods in the early 1990s. Physicists and computer scientists came to this domain cons- erably later, but they enriched the array of models and approaches and began to tackle much larger networks and more complex forms of data. Our goal in organ- ing the workshop was to encourage a dialog among people coming from di?erent disciplinary perspectives and with di?erent methods, models, and tools. Both the workshop and the editing of the proceedings was a truly colla- rative e?ort on behalf of all six editors, but three in particular deserve special recognition. Anna Goldenberg and Alice Zheng were the driving force behind the entire enterprise and Edo Airoldi assisted on a number of the more important arrangements.
This book constitutes the refereed proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2005, held in Porto, Portugal, in October 2005, ...jointly with ECML 2005.
The 35 revised full papers and 35 revised short papers presented together with abstracts of 6 invited talks were carefully reviewed and selected from 220 papers submitted to PKDD and 30 papers submitted to both, PKDD and ECML. The papers present a wealth of new results in knowledge discovery in databases and address all current issues in the area.
Bjesnoća je zoonoza (bolest koja se sa životinja prenosi na ljude) koja je uzrokovana virusom. Bolest zahvaća domaće i divlje životinje, a na ljude se širi putem bliskog kontakta sa zaraženim ...materijalima, obično slinom, putem ugriza ili ogrebotina. Bjesnoća je prisutna na svim kontinentima, s iznimkom Antarktike, budući da se više od 95% humanih slučajeva bjesnoće događa u Aziji i Africi. Jednom kada se razviju znaci bjesnoće ona je gotovo uvijek smrtonosna. Ljudi se obično zaraze putem ugriza ili ogrebotine zaražene životinje. Psi su glavni domaćin i prijenosnik bjesnoće. Izvorom su infekcije za gotovo 55.000 potvrđenih humanih slučajeva bjesnoće u Aziji i Africi. Šišmiši su izvor većine humanih slučajeva bjesnoće u obje Amerike. Bjesnoća u šišmiša također se nedavno pojavila u Australiji i u Zapadnoj Europi, gdje predstavlja rastuću javnozdravstvenu prijetnju. Zabilježeni humani slučajevi bjesnoće povezani s lisicama, rakunima, smrdljivcima, čagljevima, mungosima i ostalim divljim mesožderima su vrlo rijetki. U Zagrebačkoj antirabičnoj ambulanti, u razdoblju od 1995. do 2014. godine, pregledano je ukupno 18,094 pacijenata koje su ugrizle različite vrste životinja, ali se u samo 2 slučaja radilo o ugrizima čagljeva. Prvi je bio uvezen iz Francuske, a drugi iz Republike Hrvatske. Učestalost ugriza i ozljeda zadanih od čagljeva u promatranom razdoblju bila je iznimno niska i činila je 0,011% od svih životinjskih vrsta. Kada se isključi uvezeni slučaj, učestalost iznosi 0,0055%. Prema tome, može se zaključiti da su ugrizi i ozljede od čagljeva iznimno rijetki po učestalosti pojavljivanja te da ne predstavljaju rizik za pacijente koji rutinski dolaze u antirabičnu ambulantu u gradu Zagrebu na pregled. Zbog toga je opravdano da se čagalj kao životinjska vrsta kategorizira u skupinu “ostalih životinja”, kada se službeno prikazuje u izvješćima.
Action planning has always played a central role in Artificial Intelligence. Given a description of the current situation, a description of possible actions and a description of the goals to be ...achieved, the task is to identify a sequence of actions, i.e., a plan that transforms the current situation into one that satisfies the goal description.This monograph is a revised version of Malte Helmert's doctoral thesis, Solving Planning Tasks in Theory and Practice, written under the supervision of Professor Bernhard Nebel as thesis advisor at Albert-Ludwigs-Universitt Freiburg, Germany, in 2006. The book contains an exhaustive analysis of the computational complexity of the benchmark problems that have been used in the past decade, namely the standard benchmark domains of the International Planning Competitions (IPC). At the same time, it contributes to the practice of solving planning tasks by presenting a powerful new approach to heuristic planning. The author also provides an in-depth analysis of so-called routing and transportation problems.All in all, this book will contribute significantly to advancing the state of the art in automatic planning.
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