site map: products in Books
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)
The IDA Pro Book: The Unofficial Guide to the World's Most Popular Disassembler
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)
MACHINE LEARNING (Mcgraw-Hill International Edit)
Collective Intelligence in Action
An Introduction to Genetic Algorithms (Complex Adaptive Systems)
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
Write Great Code, Volume 2: Thinking Low-level, Writing High-level v. 2 (Write Great Code)
The Elements of Statistical Learning: Data Mining, Inference and Prediction (Springer Series in Statistics): Data Mining, Inference and Prediction (Springer Series in Statistics)
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
The Cognitive Approach to Conscious Machines
Robot Cognition and Navigation: An Experiment with Mobile Robots (Cognitive Technologies): An Experiment with Mobile Robots (Cognitive Technologies): An ... with Mobile Robots (Cognitive Technologies)
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer Texts in Statistics)
The Minimum Description Length Principle (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning)
Bioconductor Case Studies (Use R)
Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series) (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Practical Genetic Algorithms
The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
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)
Kernel Methods in Computational Biology (Computational Molecular Biology)
Kernel Methods for Pattern Analysis
The Language of Time: A Reader
Support Vector Machines (Information Science and Statistics) (Information Science and Statistics)
Bayesian Networks and Decision Graphs (Information Science and Statistics) (Information Science and Statistics)
An Inductive Logic Programming Approach to Statistical Relational Learning (Frontiers in Artificial Intelligence and Applications) (Frontiers in Artificial Intelligence and Applications)
Automata and Computability
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)
Plans and Situated Actions: The Problem of Human-Machine Communication (Learning in Doing: Social, Cognitive & Computational Perspectives): The Problem ... Cognitive and Computational Perspectives)
Soft Computing and Tools of Intelligent Systems Design: Theory and Applications
Introduction to Machine Learning and Bioinformatics (Chapman & Hall/CRC Computer Science & Data Analysis)
Machine Learning and Data Mining
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)
Myth of the Machine: Techniques and Human Development: 1
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)
Principles of Data Mining (Adaptive Computation and Machine Learning)
Neural Networks and Learning Machines: A Comprehensive Foundation
Semi-supervised Learning in Computational Linguistics (Chapman & Hall/Crc Computer Science & Data Analysis) (Chapman & Hall/CRC Computer Science & Data Analysis)
Planning Algorithms
Lattice-gas Cellular Automata and Lattice Boltzmann Models: An Introduction (Lecture Notes in Mathematics)
Genetic Algorithms in Search, Optimization and Machine Learning
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)
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)
Essentials of Game Theory: A Concise Multidisciplinary Introduction (Synthesis Lectures on Artificial Intelligence and Machine Learning): A Concise Multidisciplinary ... Intelligence and Machine Learning)
Natural Language Processing and Text Mining
Elements in Machine Learning (The Morgan Kaufmann Series in Machine Learning)
Bayesian Artificial Intelligence (Chapman & Hall/CRC Computer Science and Data Analysis)
Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayesian Networks (Information Science and Statistics): Exact Computational ... (Information Science and Statistics)
Introduction to the Theory of Computation
Prediction, Learning, and Games
Predicting Structured Data (Neural Information Processing) (Neural Information Processing)
Stochastic Approximation and Recursive Algorithms and Applications: v. 35 (Stochastic Modelling and Applied Probability)
Body Sensor Networks
Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond (Adaptive Computation and Machine Learning): Support Vector Machines, ... (Adaptive Computation and Machine Learning)
Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (The Morgan Kaufmann Series in Data Management Systems)
LargeScale Kernel Machines (Neural Information Processing) (Neural Information Processing)
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)
The Constructions at Work: The Nature of Generalization in Language
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
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning)
Introducing Speech and Language Processing (Cambridge Introductions to Language and Linguistics)
Handbook of Elliptic and Hyperelliptic Curve Cryptography (Discrete Mathematics and Its Applications)
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)
Text Mining Application Programming (Charles River Media Programming)
Genetic Programming Theory and Practice (Genetic Programming)
The Nature of Statistical Learning Theory (Information Science and Statistics) (Information Science and Statistics)
Genetic Algorithms, Principles and Perspectives: A Guide to GA Theory (Operations Research / Computer Science Interfaces Series): A Guide to GA Theory ... / Computer Science Interfaces Series)
Intelligent Data Analysis: An Introduction
Concept Data Analysis - Theory and Applications
C4.5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning)
Computational Intelligence in Economics and Finance: v. 2
Artificial Intelligence: Structures and Strategies for Complex Problem Solving
The Adaptive Web: Methods and Strategies of Web Personalization (Lecture Notes in Computer Science): Methods and Strategies of Web Personalization (Lecture ... / Lecture Notes in Artificial Intelligence)
Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications (Chapman & Hall/CRC Computer & Information Science Series)
Machine Learning (McGraw-Hill Series in Computer Science)
Learning in Graphical Models (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning)
Foundations of Genetic Programming
Learning to Learn
In Order to Learn: How the Sequence of Topics Influences Learning (Advances in Cognitive Models and Architectures)
Semi-Supervised Learning (Adaptive Computation and Machine Learning)
Genetic Algorithms for Machine Learning
Learning Machine Translation (Neural Information Processing)
Speech and Language Processing
Genetic Programming: An Introduction (The Morgan Kaufmann Series in Artificial Intelligence)
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