- Genetic Algorithms in Search, Optimization and Machine Learning
- Bioinformatics : The Machine Learning Approach (Adaptive Computation and Machine Learning)
- Introduction to the Theory of Computation
- Reinforcement Learning : An Introduction (Adaptive Computation and Machine Learning)
- Machine Learning (McGraw-Hill Series in Computer Science)
- Learning from Data : Concepts, Theory, and Methods (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
- Neuro-Fuzzy and Soft Computing : A Computational Approach to Learning and Machine Intelligence (Matlab Curriculum Series)
- Machine Learning and Data Mining; Methods & Applications
- Advances in Kernel Methods : Support Vector Learning
- Robot Shaping : An Experiment in Behavior Engineering (Intelligent Robotics and Autonomous Agents)
- Introduction to Formal Languages and Automata
- Autonomous Learning from the Environment
- Concurrent Learning and Information Processing : A Neuro-Computing System That Learns During Monitoring, Forecasting, and Control
- The Informational Complexity of Learning : Perspectives on Neural Networks and Generative Grammar
- Perceptrons : Introduction to Computational Geometry
- Graphical Models for Machine Learning and Digital Communication (Adaptive Computation and Machine Learning)
- An Introduction to Computational Learning Theory
- Computer Systems That Learn : Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems
- Genetic Algorithms for Pattern Recognition
- Elements of Machine Learning
- Machine Learning : Neural Networks, Genetic Algorithms, and Fuzzy Systems
- Computation & Intelligence : Collected Readings
- Concept Formation : Knowledge and Experience in Unsupervised Learning (Morgan Kaufmann Series in Machine Learning)
- Readings in Machine Learning (The Morgan Kaufmann Series in Machine Learning)
- Inductive Logic Programming : From Machine Learning to Software Engineering (Logic Programming)
- Readings in Knowledge Acquisition and Learning : Automating the Construction and Improvement of Expert Systems
- Computational Models of Scientific Discovery and Theory Formation (Morgan Kaufman Series in Machine Learning)
- Introduction to Machine Learning
- The Mathematics of Generalization : The Proceedings of the Sfi/Cnls Workshop on Formal Approaches to Supervised Learning (Santa Fe Institute Studies,)
- Computational Learning and Probabilistic Reasoning
- The Artificial Intelligence Debate : False Starts, Real Foundations
- Machine Learning : A Theoretical Approach
- Machine Learning and Stastistics : The Interface (Sixth-Generation Computer Technology Series)
- How to Build a Person : A Prolegomenon
- Machine Learning : A Multistrategy Approach
- Fast Learning and Invariant Object Recognition : The Sixth-Generation Breakthrough (Sixth Generation Computer Technology Series)
- Machine Learning and Knowledge Acquisition : Integrated Approaches (Knowledge-Based Systems Series)
- Machine Learning Methods for Planning (The Morgan Kaufmann Series in Machine Learning)
- Thinking Between the Lines : Computers and the Comprehension of Causal Descriptions (Artificial Intelligence)
- Intelligence : The Eye, the Brain, and the Computer
- Artificial Intelligence : Opposing Viewpoints (Great Mysteries Series)
- Learning Algorithms : Theory and Applications in Signal Processing, Control and Communications (Electronic Engineering Systems Series)
- Computational Learning Theory and Natural Learning Systems : Making Learning Systems Practical
- Machine Learning : An Artificial Intelligence Approach
- Machine Learning : An Artificial Intelligence Approach
- Machine Learning : An Artificial Intelligence Approach
- Pattern Recognition and Machine Learning
- Parallel Image Analysis : Tools and Models (Series in Machine Perception and Artificial Intelligence , Vol 31)
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