📚 Synthesis Lectures on Artificial Intelligence and Machine Learning

издательство «Ingram»
Graph Representation Learning William L. Hamilton
Introduction to Graph Neural Networks Zhiyuan Liu
Introduction to Graph Neural Networks Zhiyuan Liu
Fluid Mechanics Experiments Robabeh Jazaei
Adversarial Machine Learning Yevgeniy Vorobeychik
General Game Playing Michael Thielscher
Predicting Human Decision-Making Sarit Kraus
Game Theory for Data Science Boi Faltings
Lifelong Machine Learning Bing Liu
An Introduction to Constraint-Based Temporal Reasoning Roman Barták
Markov Logic Pedro Domingos
Essentials of Game Theory Kevin Leyton-Brown
An Introduction to the Planning Domain Definition Language Patrik Haslum
A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence Nikos Vlassis
Visual Object Recognition Kristen Gauman
Graph-Based Semi-Supervised Learning Amarnag Subramanya
Computational Aspects of Cooperative Game Theory Michael Wooldridge
Active Learning Burr Settles
Essential Principles for Autonomous Robotics Henry Hexmoor
Strategic Voting Reshef Meir
Case-Based Reasoning Beatriz López
Introduction to Logic Programming Michael Genesereth
Judgment Aggregation Gabriella Pigozzi
Metric Learning Aurelien Bellet
Action Programming Languages Michael Thielscher
Multi-Objective Decision Making Diederik M. Roijers
A Concise Introduction to Models and Methods for Automated Planning Blai Bonet
Representation Discovery using Harmonic Analysis Sridhar Mahadevan
Algorithms for Reinforcement Learning Csaba Szepesvari
Planning with Markov Decision Processes Mausam
Learning and Decision-Making from Rank Data Lirong Xia
Reasoning with Probabilistic and Deterministic Graphical Models Rina Dechter
Federated Learning Yang Liu
Representing and Reasoning with Qualitative Preferences Ganesh Ram Santhanam
Statistical Relational Artificial Intelligence Luc De Raedt
Data Integration Michael Genesereth
Learning with Support Vector Machines Колин Кэмпбелл
Introduction to Intelligent Systems in Traffic and Transportation Ana L.C. Bazzan
Answer Set Solving in Practice Martin Gebser
Robot Learning from Human Teachers Sonia Chernova
Introduction to Semi-Supervised Learning Xiaojin Zhu