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Machine Learning is a peer-reviewed scientific journal, published since 1986. In 2001, forty editors and members of the editorial board of Machine Learning resigned in order to support the Journal of Machine Learning Research (JMLR), saying that in the era of the internet, it was detrimental for researchers to continue publishing their papers ...
An Iranian index of academic journals and access to full text or metadata Free Scientific Information Database: SCIndeks - Serbian Citation Index: Multidisciplinary: 80,000 A bibliographic database, a national citation index, an Open Access full-text journal repository and an electronic publishing platform. Articles from >230 journals. Free
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]
The Journal of Machine Learning Research is a peer-reviewed open access scientific journal covering machine learning. It was established in 2000 and the first editor-in-chief was Leslie Kaelbling. [1] The current editors-in-chief are Francis Bach and David Blei (Columbia University).
Berthold has authored over 250 publications while focusing his research on usage of machine learning methods for the interactive analysis of large information repositories. He is the editor and co-author of textbooks, including, Guide To Intelligent Data Science , and Intelligent Data Analysis.
Based on learning paradigms, the existing multi-label classification techniques can be classified into batch learning and online machine learning. Batch learning algorithms require all the data samples to be available beforehand. It trains the model using the entire training data and then predicts the test sample using the found relationship.
Machine learning control (MLC) is a subfield of machine learning, intelligent control, and control theory which aims to solve optimal control problems with machine learning methods. Key applications are complex nonlinear systems for which linear control theory methods are not applicable.
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