Machine Learning: Concepts, Methodologies, Tools, and Applications, Volume III

  • 16h 25m
  • Information Resources Management Association (IRMA)
  • IGI Global
  • 2012

Statistics, psychology, and computer science are major influences in machine learning research. This exciting interdisciplinary science is a crucial component in many cutting-edge systems and business processes. Innovations in machine learning stand to change financial markets and uncover mysteries inherent in human learning.

Machine Learning: Concepts, Methodologies, Tools, and Applications offers a wide-ranging selection of key research in a complex field of study. This multi-volume set will cover both broad concepts and specific applications. Chapters will discuss topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets.

In this Book

  • Learning and Prediction of Complex Molecular Structure–Property Relationships: Issues and Strategies for Modeling Intestinal Absorption for Drug Discovery
  • Artificial Intelligence and Rubble-Mound Breakwater Stability
  • Decision Support System for Greenhouse Tomato Yield Prediction using Artificial Intelligence Techniques
  • Introducing AI and IA into a Non Computer Science Graduate Programme
  • Distributed Intelligence for Constructing Economic Models
  • A Computational Intelligence Approach to Supply Chain Demand Forecasting
  • Artificial Intelligence Applied to Natural Resources Management
  • Balance Modelling and Implementation of Flow Balance for Application in Air Traffic Management
  • Computational Intelligence for Information Technology Project Management
  • Cost-Sensitive Learning in Medicine
  • Data Warehousing and Decision Support in Mobile Wireless Patient Monitoring
  • Forecasting Supply Chain Demand Using Machine Learning Algorithms
  • Machine Learning and Financial Investing
  • Problems for Structure Learning: Aggregation and Computational Complexity
  • Granular Computing and Human-Centricity in Computational Intelligence
  • Walking the Information Overload Tightrope
  • Moral Emotions for Autonomous Agents
  • Artificial Moral Agency in Technoethics
  • Emotions, Diffusive Emotional Control and the Motivational Problem for Autonomous Cognitive Systems
  • Embodying Cognition: A Morphological Perspective
  • A Cognitive Computational Knowledge Representation Theory
  • Noble Ape's Cognitive Simulation: From Agar to Dreaming and Beyond
  • Ethology–Based Approximate Adaptive Learning: A Near Set Approach
  • Learning with Partial Supervision
  • Brain-Like Processing and Classification of Chemical Data: An Approach Inspired by the Sense of Smell
  • Modern Approaches to Software Engineering in the Compositional Era
  • Pattern Discovery as Event Association
  • A Survey of Optimized Learning Pathway Planning and Assessment Paper Generation with Swarm Intelligence
  • A Next Generation Technology Victim Location and Low Level Assessment Framework for Occupational Disasters Caused by Natural Hazards
  • Facial Expression Analysis by Machine Learning
  • Discovering Semantics from Visual Information
  • From Biomedical Image Analysis to Biomedical Image Understanding Using Machine Learning
  • The Application of Machine Learning Technique for Malaria Diagnosis
  • Application of Machine Learning Techniques for Railway Health Monitoring
  • Explorative Data Analysis of In-Vitro Neuronal Network Behavior Based on an Unsupervised Learning Approach
  • Modeling the Ecological Footprint of Nations via Evolutionary Computation and Machine Learning Models
  • Adaptive Interaction for Mass Customisation
  • Dependency Parsing: Recent Advances