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Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Handling inherent uncertainty and exploiting compositional structure are fundamental to understanding and designing large-scale systems. Statistical relational learning builds on ideas from probability theory and statistics to address uncertainty while incorporating tools from logic, databases, and programming languages to represent structure. In...
Advanced Signal Processing and Noise Reduction, 2nd Edition
Advanced Signal Processing and Noise Reduction, 2nd Edition

This book presents a broad range of theory and application of statistical signal processing. The emphasis is on digital noise reduction algorithms, particularly important in the field of mobile communication. Vaseghi covers a broad range of applications, including spectral estimation, channel equalization, speech coding over noisy channels,...

Models and Cognition (Bradford Books)
Models and Cognition (Bradford Books)
"Every now and then, a book comes along that tries to put it all together. Waskan's book is eminently readable and well informed, and taught me a lot about stuff I thought I already knew. It is an accessible text and a thoroughly original contribution, all in one."
Robert Cummins, Department of Philosophy
...
SAS for Data Analysis: Intermediate Statistical Methods (Statistics and Computing)
SAS for Data Analysis: Intermediate Statistical Methods (Statistics and Computing)
This book is intended for use as the textbook in a second course in applied statistics that covers topics in multiple regression and analysis of variance at an intermediate level. Generally, students enrolled in such courses are primarily graduate majors or advanced undergraduate students from a variety of disciplines. These students typically have...
Learning Theory: 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007
Learning Theory: 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007
This book constitutes the refereed proceedings of the 20th Annual Conference on Learning Theory, COLT 2007, held in San Diego, CA, USA in June 2007.

The 41 revised full papers presented together with 5 articles on open problems and 2 invited lectures were carefully reviewed and selected from a total of 92 submissions. The papers cover a wide...

Algorithms and Protocols for Wireless, Mobile Ad Hoc Networks (Wiley Series on Parallel and Distributed Computing)
Algorithms and Protocols for Wireless, Mobile Ad Hoc Networks (Wiley Series on Parallel and Distributed Computing)
Learn the fundamental algorithms and protocols for wireless and mobile ad hoc networks

Advances in wireless networking and mobile communication technologies, coupled with the proliferation of portable computers, have led to development efforts for wireless and mobile ad hoc networks. This book focuses on several aspects of wireless ad hoc...

The Semantic Web - ISWC 2004: Third International Semantic Web Conference, Hiroshima, Japan, November 7-11, 2004. Proceedings
The Semantic Web - ISWC 2004: Third International Semantic Web Conference, Hiroshima, Japan, November 7-11, 2004. Proceedings
This book constitutes the refereed proceedings of the Third International Semantic Web Conference, ISWC 2004, held in Hiroshima, Japan in November 2004.

The 55 revised full papers presented together with abstracts of 2 invited talks were carefully reviewed and selected from a total of 227 submitted papers. The papers are organized in topical...

Applied Statistics Using SPSS, STATISTICA, MATLAB and R
Applied Statistics Using SPSS, STATISTICA, MATLAB and R
From the reviews:

"Aimed at students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB and STATISTICA, this book provides a comprehensive coverage of the main statistical analysis topics … . The relevant notions and methods are explained concisely,...

Fixed Effects Regression Methods for Longitudinal Data Using SAS
Fixed Effects Regression Methods for Longitudinal Data Using SAS
Every empirical researcher knows that randomized experiments have major advantages over observational studies in making causal inferences. Randomization of subjects to different treatment conditions ensures that the treatment groups, on average, are identical with respect to all possible characteristics of the subjects, regardless of whether those...
Active Visual Inference of Surface Shape (Lecture Notes in Computer Science)
Active Visual Inference of Surface Shape (Lecture Notes in Computer Science)
This monograph is devoted to the problem of inferring geometric information about arbitrarily curved surfaces from visual cues; this is a central problem in computer vision with immediate relevance for robot manipulation and navigation. The author develops computational theories and techniques relating visual information arising from viewer...
Data and Applications Security: Developments and Directions (IFIP International Federation for Information Processing)
Data and Applications Security: Developments and Directions (IFIP International Federation for Information Processing)
New technology is always evolving and companies must have appropriate security for their businesses to be able to keep up to date with the changes. With the rapid growth of the internet and the world wide web, data and applications security will always be a key topic in industry as well as in the public sector, and has implications for the...
Intelligent Data Analysis
Intelligent Data Analysis
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The ten coherently written chapters by leading experts provide complete coverage of the core issues.

The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of...

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