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Machine Learning Network Online Information Service — (Computers/Artificial_Intelligence)
The MLnet OiS offers software, datasets, information about events, research groups, persons and other interesting stuff related to machine learning, knowledge discovery, case-based reasoning, knowledge acquisition, and data mining.
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Machine Learning at AAAI — (Computers/Artificial_Intelligence)
Starting point for online machine learning resources. Provided by the American Association for Artificial Intelligence.
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David W. Aha: Machine Learning Page — (Computers/Artificial_Intelligence)
Comprehensive machine learning resources from Applications to Tutorials.
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Machine Learning List — (Computers/Artificial_Intelligence)
A moderated discussion list about Machine Learning. Email subscribe/unsubscribe request to ml-request@isle.org. Email contribution to ml@isle.org. It's sent out bi-monthly in digest format.
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Machine Learning Mailing List — (Computers/Artificial_Intelligence)
An unmoderated mailing list intended for people in computer sciences, statistics, mathematics, and other areas or disciplines with interests in Machine Learning. Researchers, practitioners, and users of Machine Learning in academia, industry, and government are encouraged to join the list and participate.
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Machine Learning Group - University of Waikato — (Computers/Artificial_Intelligence)
Offers WEKA, a comprehensive, open-source (GPL) machine learning and data mining toolkit in Java with classification, regression, clustering, and association rules. Command-line and GUI interfaces.
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Machine learning and Neural Networks group - Universities of Florence, Pisa, and Siena — (Computers/Artificial_Intelligence)
Research on adaptive processing of data structures, document analysis and technologies, natural language, machine learning for the web, visual databases, biochemistry and bioinformatics.
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Machine Learning and Natural Language Processing Lab - Freiburg (Germany) — (Computers/Artificial_Intelligence)
Research on Data Mining, Machine Learning,Inductive Logic Programming, Relational Learning, Machine Learning for Bioinformatics.
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Machine Learning - ÖFAI — (Computers/Artificial_Intelligence)
Information on their members, research areas, publications, teaching, and resources. Focus is on: data mining and knowledge discovery in databases, inductive logic programming, knowledge intensive learning, concept drift and context-sensitive learning, minimum description length principle, machine learning and music.
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Knowledge Acquisition & Machine Learning Lab - University of Bari — (Computers/Artificial_Intelligence)
Research on symbolic and numerical approaches to machine learning, first order logic, intelligent document processing, spatial data mining, human-computer interaction.
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Soft Computing in Machine Learning — (Computers/Artificial_Intelligence)
Applications of soft computing (fuzzy systems, neural networks, and genetic algorithms) in machine learning. Manuscripts and MATLAB codes related to fuzzy clustering and classification, and visualization and analysis of high-dimensional data.
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Alberta Ingenuity Centre for Machine Learning (AICML) — (Computers/Artificial_Intelligence)
Promotes curiosity-driven Machine Learning research, and leading edge scientific and commercial applications in the bioinformatics and interactive entertainment industries.
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AICML - Alberta Ingenuity Centre for Machine Learning — (Computers/Artificial_Intelligence)
An internationally recognized node of machine learning researchers at the University of Alberta
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Machine Learning for the (CS) Masses — (Computers/Artificial_Intelligence)
ACM Curriculum Descant article on machine learning education, especially in undergraduate-level computer science curricula
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UCI Machine Learning Repository — (Computers/Artificial_Intelligence)
A repository of databases, domain theories and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms.
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Machine Learning — (Computers/Artificial_Intelligence)
A list of links to papers and other resources on machine learning.
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Journal of Machine Learning Research — (Computers/Artificial_Intelligence)
Provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning. Final versions are published electronically immediately upon receipt, and an annual paper volume is published and sold to libraries and individuals.
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Machine Learning, Neural and Statistical Classification — (Computers/Artificial_Intelligence)
This book is based on the EC (ESPRIT) project StatLog which compare and evaluated a range of classification techniques, with an assessment of their merits, disadvantages and range of application. This integrated volume provides a concise introduction to each method, and reviews comparative trials in large-scale commercial and industrial problems. It makes accessible to a wide range of workers the complex issue of classification as approached through machine learning, statistics and neural networks, encouraging a cross-fertilization between these discplines.
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International Conference on Machine Learning (ICML) — (Computers/Artificial_Intelligence)
2006, June 25-29, Pittsburgh, Penn, US. A premier machine learning conference. Submission date: 30 January 2006.
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International Conference on Machine Learning (ICML) — (Computers/Artificial_Intelligence)
2004, July 4-8, Banff, Canada. Machine learning research, including applications, techniques, theories, and connections to related fields of inquiry. Submission deadline 30 January 2004.
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