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Bayesian Reasoning and Machine Learning
Lectures in Game Theory for Computer Scientists
Modeling and Reasoning with Bayesian Networks
Constraint Handling Rules
Algorithmic Game Theory
Mathematics of Public Key Cryptography
Logic in Computer Science: Modelling and Reasoning about Systems
Modern Compiler Implement in ML
Functional Programming Using F#
Brain-Computer Interfacing: An Introduction
Lattice Coding for Signals and Networks: A Structured Coding Approach to Quantization, Modulation and Multiuser Information Theory
Next Generation of Data-Mining Applications
Machine Learning: The Art and Science of Algorithms that Make Sense of Data
Computer Vision: Models, Learning, and Inference
Python for Software Design: How to Think Like a Computer Scientist
Steps in Scala: An Introduction to Object-Functional Programming
Mobile Computing Principles: Designing and Developing Mobile Applications with UML and XML
Combinatorial and Computational Geometry (Mathematical Sciences Research Institute Publications)
Probabilistic Reasoning in Multiagent Systems: A Graphical Models Approach
Adaptive Mechanics (Mathematics and Its Applications (closed))
Foundations of Component-Based Systems
Density Ratio Estimation in Machine Learning
Maximum Entropy, Information Without Probability and Complex Fractals: Classical and Quantum Approach (Fundamental Theories of Physics)