ML - Machine Learning
Publisher: Springer. Sponsored by AAAI
ISSN: 1573-0565 (electronic version)
ISSN: 0885-6125 (print version)
Editor-in-Chief: Peter A. Flach, University of Bristol
Editorial Board
Year Range: 1982 - Current Year
Numbers per year: 4
Official Homepage: http://www.springer.com/computer/ai/journal/10994
Access: abstracts and some full-texts available
Read this Journal on Springerlink: Online First Articles | All Volumes & Issues | Free: Sample Articles
Fields of study: Machine Learning, Pattern Recognition
Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems.
Specific topics of interest include, but are not restricted to:
■ Learning Problems:
• Classification, regression, recognition, and prediction;
• Problem solving and planning;
• Reasoning and inference;
• Data mining;
• Web mining;
• Scientific discovery;
• Information retrieval;
• Natural language processing;
• Design and diagnosis;
• Vision and speech perception;
• Robotics and control;
• Combinatorial optimization;
• Game playing;
• Industrial, financial, and scientific applications of all kinds.
■ Learning Methods:
• Supervised and unsupervised learning methods, including learning decision and regression trees, rules, connectionist networks, probabilistic networks and other statistical models, inductive logic programming, case-based methods, ensemble methods, clustering, etc.;
• Reinforcement learning;
• Evolution-based methods;
• Explanation-based learning;
• Analogical learning methods;
• Automated knowledge acquisition;
• Learning from instruction;
• Visualization of patterns in data;
• Learning in integrated architectures;
• Multistrategy learning;
• Multi-agent learning.
Машинное обучение (журнал - печатное и электронное издание)
Издатель: Springer
Годы выпуска: 1982 - настоящее время
Периодичность выпуска: 4 номера в год
Официальный сайт: http://www.springer.com/computer/ai/journal/10994
Доступ: свободный, доступны аннотации и полные тексты
Просмотр на Springerlink: Online First Articles | All Volumes & Issues | Free: Sample Articles
Области исследований: Машинное обучение, Распознавание
