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Synthesis Lectures on Artificial Intelligence and Machine Learning

Editors

Ronald J. Brachman, Yahoo!Labs

William W. Cohen, Carnegie Mellon University

Peter Stone, University of Texas at Austin

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

Aurélien Bellet, Amaury Habrard, and MarcSebban

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 Barták, 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 Klügl

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 López

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 Szepesvári

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

Statistical Relational Artificial Intelligence

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