Learn IT - Books tags inference

Rewriting Logic and Its Applications: 8th International Workshop, WRLA 2010

Springer, 2010

Rewriting is a form of inference, and one that interacts in several ways with other forms of inference such as decision procedures and proof search. We discuss a range of issues at the intersection of rewriting and inference. How can other inference procedures be combined with rewriting? Can rewriting be used to describe...

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis

CRC Press, 2019

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in terms of causal...

R Statistical Application Development by Example Beginner's Guide

Packt Publishing, 2013

"R Statistical Application Development by Example Beginner’s Guide" explores statistical concepts and the R software, which are well integrated from the word go. This demarcates the separate learning of theory and applications and hence the title begins with “R Statistical …”. Almost every concept has an R...

Artificial Intelligence: Modern Approach

Prentice Hall, 2002

Integrates state-of-the-art AI techniques into intelligent agent designs, using examples and exercises to lead the reader from simple reactive agents to full knowledge-based agents with natural language capabilities. Covers areas that are sometimes under-emphasized--reasoning under uncertainty, learning, natural language, vision and robotics--and...

The Practical Bioinformatician

World Scientific Publishing, 2004

Computer scientists have increasingly been enlisted as "bioinformaticians" to assist molecular biologists in their research. This book is a practical introduction to bioinformatics for these computer scientists. The chapters are in-depth discussions by expert bioinformaticians on both general techniques and specific approaches to a range...

Model Generation for Natural Language Interpretation and Analysis

Springer, 2004

Mathematical theorem proving has undergone an impressive development during the last two decades, resulting in a variety of powerful systems for applications in mathematical deduction and knowledge processing. Natural language processing has become a topic of outstanding relevance in information technology, mainly due to the explosive growth of the...

Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support

Cambridge University Press, 2010

Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book...

An Elementary Introduction to Statistical Learning Theory

John Wiley & Sons, 2011

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning

A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible...

Models and Cognition (Bradford Books)

MIT Press, 2006

"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...

Dense Sphere Packings: A Blueprint for Formal Proofs (London Mathematical Society Lecture Note Series)

Cambridge University Press, 2012

The 400-year-old Kepler conjecture asserts that no packing of congruent balls in three dimensions can have a density exceeding the familiar pyramid-shaped cannonball arrangement. In this book, a new proof of the conjecture is presented that makes it accessible for the first time to a broad mathematical audience. The book also presents...

Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB

John Wiley & Sons, 2011

This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable...

Active Visual Inference of Surface Shape (Lecture Notes in Computer Science)

Springer, 1995

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...

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