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