Artificial Intelligence & Machine Learning Series

Artificial Intelligence & Machine Learning Series

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Copyright © 2007 - 2018

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The Artificial Intelligence and Machine Learning series contains over 35 books published by Morgan & Claypool since 2007. Your annual subscription gives you access to each and every book through the MyBookshelf application.

Series Editors Ronald Brachman (Jacobs Technion-Cornell Institute at Cornell Tech) and Peter Stone (University of Texas at Austin) have collected the leaders of AI/ML research and development to create the most comprehensive and relevant collection of books on these subjects for researchers, developers, and advanced students.

ANY NEW BOOK PUBLISHED DURING YOUR ANNUAL SUBSCRIPTION TERM IS AUTOMATICALLY INCLUDED AT NO EXTRA COST.

CURRENT BOOKS

Predicting Human Decision-Making: From Prediction to Action
Ariel Rosenfeld and Sarit Kraus - 2018

Game Theory for Data Science: Eliciting Truthful Information
Boi Faltings and Goran Radanovic - 2017

Multi-Objective Decision Making
Diederik M. Roijers and Shimon Whiteson - 2017

Lifelong Machine Learning
Zhiyuan Chen and Bing Liu - 2016

Statistical Relational Artificial Intelligence: Logic, Probability, and Computation
Luc De Raedt, Kristian Kersting, Sriraam Natarajan, and David Poole - 2016

Representing and Reasoning with Qualitative Preferences: Tools and Applications
Ganesh Ram Santhanam, Samik Basu, and Vasant Honavar - 2016

Metric Learning
Aurelien Bellet, Amaury Habrard, and Marc Sebban - 2015

Graph-Based Semi-Supervised Learning
Amarnag Subramanya and Partha Pratim Talukdar - 2014

Robot Learning from Human Teachers
Sonia Chernova and Andrea L. Thomaz - 2014

General Game Playing
Michael Genesereth and Michael Thielscher - 2014

Judgment Aggregation: A Primer
Davide Grossi and Gabriella Pigozzi - 2014

An Introduction to Constraint-Based Temporal Reasoning
Roman Bartak, Robert A. Morris, and K. Brent Venable - 2014

Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms
Rina Dechter - 2013

Introduction to Intelligent Systems in Traffic and Transportation
Ana L.C. Bazzan and Franziska Klugl - 2013

A Concise Introduction to Models and Methods for Automated Planning
Hector Geffner and Blai Bonet - 2013

Essential Principles for Autonomous Robotics
Henry Hexmoor - 2013

Case-Based Reasoning: A Concise Introduction
Beatriz Lopez - 2013

Answer Set Solving in Practice
Martin Gebser, Roland Kaminski, Benjamin Kaufmann, and Torsten Schaub - 2012

Planning with Markov Decision Processes: An AI Perspective
Mausam and Andrey Kolobov - 2012

Active Learning
Burr Settles - 2012

Computational Aspects of Cooperative Game Theory
Georgios Chalkiadakis, Edith Elkind, and Michael Wooldridge - 2011

Representations and Techniques for 3D Object Recognition and Scene Interpretation
Derek Hoiem and Silvio Savarese - 2011

A Short Introduction to Preferences: Between Artificial Intelligence and Social Choice
Francesca Rossi, Kristen Brent Venable, and Toby Walsh - 2011

Human Computation
Edith Law and Luis von Ahn - 2011

Trading Agents
Michael P. Wellman - 2011

Visual Object Recognition
Kristen Grauman and Bastian Leibe - 2011

Learning with Support Vector Machines
Colin Campbell and Yiming Ying - 2011

Algorithms for Reinforcement Learning
Csaba Szepesvari - 2010

Data Integration: The Relational Logic Approach
Michael Genesereth - 2010

Markov Logic: An Interface Layer for Artificial Intelligence
Pedro Domingos and Daniel Lowd - 2009

Introduction to Semi-Supervised Learning
XiaojinZhu and Andrew B.Goldberg - 2009

Action Programming Languages
Michael Thielscher - 2008

Representation Discovery using Harmonic Analysis
Sridhar Mahadevan - 2008

Essentials of Game Theory: A Concise Multidisciplinary Introduction
Kevin Leyton-Brown and Yoav Shoham - 2008

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
Nikos Vlassis - 2007

Intelligent Autonomous Robotics: A Robot Soccer Case Study
Peter Stone - 2007

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