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Programming Collective Intelligence: Building Smart Web 2.0 Applications
Pattern Recognition and Machine Learning (Information Science and Statistics) (Information Science and Statistics) (Information Science and Statistics)
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)
Collective Intelligence in Action
MACHINE LEARNING (Mcgraw-Hill International Edit)
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
The Elements of Statistical Learning: Data Mining, Inference and Prediction (Springer Series in Statistics): Data Mining, Inference and Prediction (Springer Series in Statistics)
The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Genetic Algorithms in Search, Optimization and Machine Learning
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer Texts in Statistics)
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer Texts in Statistics)
An Introduction to Genetic Algorithms (Complex Adaptive Systems)
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
The Minimum Description Length Principle (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning)
Introduction to the Theory of Computation
Bioconductor Case Studies (Use R)
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Support Vector Machines (Information Science and Statistics) (Information Science and Statistics)
The Cognitive Approach to Conscious Machines
Speech and Language Processing
Neural Networks and Learning Machines: A Comprehensive Foundation
An Introduction to Genetic Algorithms for Scientists and Engineers
Practical Genetic Algorithms
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayesian Networks (Information Science and Statistics): Exact Computational ... (Information Science and Statistics)
Kernel Methods in Computational Biology (Computational Molecular Biology)
Ontology Learning and Population: Bridging the Gap Between Text and Knowledge (Frontiers in Artificial Intelligence and Applications)
Computable Models of the Law (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Artificial Intelligence Methods in the Environmental Sciences
Essentials of Game Theory: A Concise Multidisciplinary Introduction (Synthesis Lectures on Artificial Intelligence and Machine Learning): A Concise Multidisciplinary ... Intelligence and Machine Learning)
LargeScale Kernel Machines (Neural Information Processing) (Neural Information Processing)
Genetic Fuzzy Systems: Evolutionary Tuning and Learning of Fuzzy Knowledge Bases (Advances in Fuzzy Systems - Applications & Theory): Evolutionary Tuning ... in Fuzzy Systems - Applications & Theory)
Network Models and Optimization: Multiobjective Genetic Algorithm Approach (Decision Engineering): Multiobjective Genetic Algorithm Approach (Decision Engineering)
The Constructions at Work: The Nature of Generalization in Language
Prediction, Learning, and Games
Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (The Morgan Kaufmann Series in Data Management Systems)
Machine Learning and Data Mining
Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing)
Kernel Methods for Pattern Analysis
Automata and Computability
Neuro-fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence (MATLAB Curriculum Series)
Write Great Code, Volume 2: Thinking Low-level, Writing High-level v. 2 (Write Great Code)
Bayesian Networks and Decision Graphs (Information Science and Statistics) (Information Science and Statistics)
Networks of Learning Automata: Techniques for Online Stochastic Optimization
Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond (Adaptive Computation and Machine Learning): Support Vector Machines, ... (Adaptive Computation and Machine Learning)
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning)
Machines That Learn to Play Games (Advances in Computation: Theory & Practice)
Computational Learning Theory (Cambridge Tracts in Theoretical Computer Science)
Statistical Network Analysis - Models, Issues, and New Directions: ICML 2006 Workshop on Statistical Network Analysis, Pittsburgh, PA, USA, June 29, 2006, ... / Lecture Notes in Artificial Intelligence)
Constraint Based Reasoning (Special Issues of Artificial Intelligence)
Reactive Search and Intelligent Optimization (Operations Research / Computer Science Interfaces Series)
Logical and Relational Learning: From ILP to MRDM (Cognitive Technologies): From ILP to MRDM (Cognitive Technologies)
Views into the Chinese Room: New Essays on Searle and Artificial Intelligence
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms (Springer International Series in Engineering and Computer Science)
Body Sensor Networks
Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series) (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Robot Cognition and Navigation: An Experiment with Mobile Robots (Cognitive Technologies): An Experiment with Mobile Robots (Cognitive Technologies): An ... with Mobile Robots (Cognitive Technologies)
Inductive Logic Programming: From Machine Learning to Software Engineering (Logic Programming)
A Concise Introduction to Image Processing Using C++ (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series) (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)
The Language of Time: A Reader
An Inductive Logic Programming Approach to Statistical Relational Learning (Frontiers in Artificial Intelligence and Applications) (Frontiers in Artificial Intelligence and Applications)
A Half-century of Automata Theory: Celebration and Inspiration
Annotating, Extracting and Reasoning About Time and Events: International Seminar, Dagstuhl Castle, Germany, April 20-15, 2005, Revised Papers (Lecture ... / Lecture Notes in Artificial Intelligence)
Soft Computing and Tools of Intelligent Systems Design: Theory and Applications
Plans and Situated Actions: The Problem of Human-Machine Communication (Learning in Doing: Social, Cognitive & Computational Perspectives): The Problem ... Cognitive and Computational Perspectives)
Introduction to Machine Learning and Bioinformatics (Chapman & Hall/CRC Computer Science & Data Analysis)
Introduction to Machine Learning
Metalearning: Applications to Data Mining (Cognitive Technologies)
Intelligent Tutoring Systems: 9th International Conference on Intelligent Tutoring Systems, Its 2008, Montreal, Canada, June 23-27, 2008 - Proceedings ... / Lecture Notes in Artificial Intelligence)
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-centric Systems and Applications): Exploring Hyperlinks, Contents, and Usage Data (Data-centric Systems and Applications)
Lattice-gas Cellular Automata and Lattice Boltzmann Models: An Introduction (Lecture Notes in Mathematics)
Principles of Data Mining (Adaptive Computation and Machine Learning)
Planning Algorithms
Blondie 24: Playing At The Edge of AI (The Morgan Kaufmann Series in Artificial Intelligence): Playing at the Edge of AI (The Morgan Kaufmann Series in Artificial Intelligence)
Semi-supervised Learning in Computational Linguistics (Chapman & Hall/Crc Computer Science & Data Analysis) (Chapman & Hall/CRC Computer Science & Data Analysis)
Learning Theory: 20th Annual Conference on Learning Theory, Colt 2007, San Diego, Ca, USA, June 13-15, 2007, Proceedings (Lecture Notes in Computer Science): ... / Lecture Notes in Artificial Intelligence)
Natural Language Processing and Text Mining
Bayesian Artificial Intelligence (Chapman & Hall/CRC Computer Science and Data Analysis)
Elements in Machine Learning (The Morgan Kaufmann Series in Machine Learning)
Predicting Structured Data (Neural Information Processing) (Neural Information Processing)
Stochastic Approximation and Recursive Algorithms and Applications: v. 35 (Stochastic Modelling and Applied Probability)
Evolutionary Computation: A Unified Approach (Complex Adaptive Systems)
Data Mining IX: Data Mining, Protection, Detection and Other Security Technologies
Advances in Minimum Description Length: Theory and Applications (Neural Information Processing)
The Computational Complexity of Machine Learning (ACM Distinguished Dissertation)
Computational Intelligence: Concepts to Implementations
Thinking Machines: Evolution of Artificial Intelligence
A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence (Synthesis Lectures on Artificial Intelligence and Machine Learning) ... Intelligence and Machine Learning)
Constrained Clustering (Chapman & Hall/CRC Data Mining and Knowledge Discovery) (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Statistical Learning Theory (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
Algorithmic Learning in a Random World
Handbook of Elliptic and Hyperelliptic Curve Cryptography (Discrete Mathematics and Its Applications)
Introducing Speech and Language Processing (Cambridge Introductions to Language and Linguistics)
Machine Learning and Data Mining: Methods and Applications
Runaway Learning Machine: Growing Up Dyslexic
Systems That Learn: An Introduction to Learning Theory (Learning, Development & Conceptual Change)
Genetic Programming: Automatic Discovery of Reusable Programs v. 2 (Complex Adaptive Systems)
Genetic Programming Theory and Practice (Genetic Programming)
The Nature of Statistical Learning Theory (Information Science and Statistics) (Information Science and Statistics)
Intelligent Data Analysis: An Introduction