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Logic for Learning

This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. For those;

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Logic for Learning

This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. For those;

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Inductive Logic Programming

logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.;

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Inductive Logic Programming

. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation;

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Tools for Teaching Logic

textbooks, methods for teaching logic at different levels of instruction, presentation of postgraduate programs in logic, e-learning, logic games;

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Foundations of Probabilistic Logic Programming

thus represent an excellent candidate for the integration. Since its birth, the field of Probabilistic Logic Programming has seen a steady;

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Learning from Data

An interdisciplinary framework for learning methodologies-covering statistics, neural networks, and fuzzy logic, this book provides a;

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We Will Show Them! Essays in Honour of Dov Gabbay. Volume 1

, Temporal Logic, Logic and Learning, Combination of Logics, Practical Reasoning, Logic and Artificial Intelligence, Abduction, Theorem Proving, and;

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Inductive Logic Programming

Although Inductive Logic Programming (ILP) is generally thought of as a research areaat the intersection of machine learning and;

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Fuzzy Logic-Based Modeling in Collaborative and Blended Learning

application of fuzzy logic to new forms of technology-centered education has presented new opportunities for analyzing and modeling learner behavior;

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Inductive Logic Programming

submissions. The papers focus on topics such as the inducing of logic programs, learning from data represented with logic, multi-relational machine;

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Inductive Logic Programming

areas of learning in logic, relational learning, relational data mining, statistical relational learning, multi-relational data mining;

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Markov Logic

templates for features of Markov random fields. Most statistical models in wide use are special cases of Markov logic, and first-order logic is its;

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Java Programs for Programming Logic and Design

. Together, the two books provide the perfect opportunity for readers to learn the fundamentals of programming, while also learning an actual leading;

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Digital Electronics Demystified

The perfect resource for anyone learning digital logic and electronics, written by renowned digital guru Myke Predko in the audience;

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Artificial Intelligence

Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For;

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Artificial Intelligence

Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For;

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Artificial Intelligence

Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For;

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Artificial Intelligence

Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For;

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Neural Fuzzy Control Systems With Structure And Parameter Learning

traditional fuzzy logic controller into a connectionist structure which has distributed learning abilities.In order to set up this proposed FNN, the;

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C++ Programs to Accompany Programming Logic and Design

. Together, the two books provide the perfect opportunity for readers to learn the fundamentals of programming, while also learning an actual leading;

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Logical and Relational Learning

-contained and easily accessible for graduate students and practitioners of data mining and machine learning.;

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Logical and Relational Learning

-contained and easily accessible for graduate students and practitioners of data mining and machine learning.;

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Introduction to Artificial Intelligence

, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper;

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A Concise Introduction to Logic, International Edition (with Stand Alone Rules and Argument Forms Card)

Unsurpassed for its clarity and comprehensiveness, Hurley's A CONCISE INTRODUCTION TO LOGIC, International Edition is the #1 introductory;

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Introduction to Logic and Logical Discourse

in teaching and learning courses on logic. It offers a valuable resource for students and researchers in philosophy, mathematics and computer science;

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Introduction to Logic and Logical Discourse

in teaching and learning courses on logic. It offers a valuable resource for students and researchers in philosophy, mathematics and computer science;

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