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An Inductive Logic Programming Approach to Statistical Relational LearningIn this publication, the author Kristian Kersting has made an assault on one of the hardest integration problems at the heart of Artificial Intelligence research. This involves taking three disparate major areas of research and attempting a fusion among them. The three areas are: Logic Programming, Uncertainty Reasoning and Machine Learning. Every... | | Advances in Data Mining and Modeling: Hong Kong 27 - 28 June 2002
Data mining and data modeling are hot topics and are under fast development. Because of its wide applications and rich research contents, a lot of practitioners and academics are attracted to work on these areas. In the view of promoting the communications and collaborations among the practitioners and researchers in Hong Kong, a two-day... | | Industrial Problem Solving Simplified: An 8-Step Program
Industrial Problem Solving Simplified provides a roadmap for solving manufacturing problems. Containing numerous examples of actual problems and their solutions in various industrial environments, it is for novice as well as experienced manufacturing owners, managers, quality representatives, consultants, trainers, and procurement... |
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The Princeton Companion to Mathematics
This is a one-of-a-kind reference for anyone with a serious interest in mathematics. Edited by Timothy Gowers, a recipient of the Fields Medal, it presents nearly two hundred entries, written especially for this book by some of the world's leading mathematicians, that introduce basic mathematical tools and vocabulary; trace the... | | | | Introduction to Symplectic Geometry
This introductory book offers a unique and unified overview of symplectic geometry, highlighting the differential properties of symplectic manifolds. It consists of six chapters: Some Algebra Basics, Symplectic Manifolds, Cotangent Bundles, Symplectic G-spaces, Poisson Manifolds, and A Graded Case, concluding with a discussion of the... |
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