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Introduction to Logic Programming
This is an introduction to Logic Programming theory, current technology, and popular applications. It is an innovative, model-theoretic approach to logic programming.Logic …
Positive Unlabeled Learning
Machine learning and artificial intelligence (AI) are powerful tools that create predictive models, extract information, and help make complex decisions. They do this by examining …
Graph Representation Learning
This book is a foundational guide to graph representation learning, including state-of-the art advances, and introduces the highly successful graph neural network (GNN) formalism. …
Representations and Techniques for 3D Object Recognition and Scene Interpretation
One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in …
Human Computation
Human computation is a new and evolving research area that centers around harnessing human intelligence to solve computational problems that are beyond the scope of existing …
Data Integration
Data integration is a critical problem in our increasingly interconnected but inevitably heterogeneous world. There are numerous data sources available in organizational databases …
An Introduction to Constraint-Based Temporal Reasoning
Solving challenging computational problems involving time has been a critical component in the development of artificial intelligence systems almost since the inception of the …
Explainable Human-AI Interaction
From its inception, artificial intelligence (AI) has had a rather ambivalent relationship with humans—swinging between their augmentation and replacement. Now, as AI technologies …
Introduction to Graph Neural Networks
This book provides a comprehensive introduction to the basic concepts, models, and applications of graph neural networks. It starts with the introduction of the vanilla GNN model. …
Adversarial Machine Learning
The increasing abundance of large high-quality datasets, combined with significant technical advances over the last several decades have made machine learning into a major tool …
Applying Reinforcement Learning on Real-World Data with Practical Examples in Python
Reinforcement learning is a powerful tool in artificial intelligence in which virtual or physical agents learn to optimize their decision making to achieve long-term goals. In some …