Machine-Learning Approaches to Power-System Security Assessment
IEEE Expert: Intelligent Systems and Their Applications
Investigation and Reduction of Discretization Variance in Decision Tree Induction
ECML '00 Proceedings of the 11th European Conference on Machine Learning
Some Enhencements of Decision Tree Bagging
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Temporal Machine Learning for Switching Control
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Pattern Extraction for Time Series Classification
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
Machine Learning Applications to Power Systems
Machine Learning and Its Applications, Advanced Lectures
A complete fuzzy decision tree technique
Fuzzy Sets and Systems - Theme: Learning and modeling
Closed-form dual perturb and combine for tree-based models
ICML '05 Proceedings of the 22nd international conference on Machine learning
Machine Learning
Grid resource negotiation: survey with a machine learning perspective
PDCN'06 Proceedings of the 24th IASTED international conference on Parallel and distributed computing and networks
Machine learning for frequency estimation of power systems
Applied Soft Computing
The data mining technology based on CIMS and its application on automotive remanufacturing
Proceedings of the 1st international conference on Forensic applications and techniques in telecommunications, information, and multimedia and workshop
Using decision trees to recognize visual events
AREA '08 Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
Visual event recognition using decision trees
Multimedia Tools and Applications
Investigation of decision trees (DTs) parameters for power system voltage stability enhancement
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Dynamic security assessment and load shedding schemes using self organized maps and decision trees
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Biomedical image classification with random subwindows and decision trees
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Data-driven dynamic emulation modelling for the optimal management of environmental systems
Environmental Modelling & Software
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From the Publisher:Automatic Learning Techniques in Power Systems is dedicated to the practical application of automatic learning to power systems. Power systems to which automatic learning can be applied are screened and the complementary aspects of automatic learning, with respect to analytical methods and numerical simulation, are investigated. This book presents a representative subset of automatic learning methods - basic and more sophisticated ones - available from statistics (both classical and modern), and from artificial intelligence (both hard and soft computing). The text also discusses appropriate methodologies for combining these methods to make the best use of available data in the context of real-life problems. Automatic Learning Techniques in Power Systems is a useful reference source for professionals and researchers developing automatic learning systems in the electrical power field.