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Journal Name:Journal of Machine Learning Technologies (ISSN: 2229-399X)
Published By: Bioinfo Publications
Website: www.bioinfo.in
Print ISSN: 2229-399X 2229 399X
Aims & Scope: The journal focuses on the articles in advances in key compound classes and research areas of techniques of— Any novel approaches Machine Learning Technologie Accounts of applications of existing techniques that shed light on the strengths and weaknesses of the methods Analogical learning methods Application in pattern recognition, image understanding, control, robotics and bioinformatics Application in system design, system identification, prediction, scheduling and game playing Automated knowledge acquisition Biochemical interaction in biological and biologically-inspired systems Classification, regression, recognition, and prediction Combinatorial optimization Computational models of data from natural learning systems at the behavioral or neural level Control of system-environment interactions Data mining Design and diagnosis Development of new analytical frameworks that advance theoretical studies of practical learning methods Different contributing disciplines such as engineering, mathematics, cognitive sciences, and applications Evolution-based methods Experimental and/or theoretical studies yielding new insight into the design and behavior of learning in intelligent systems Explanation-based learning Extremely well-written surveys of existing work Formalization of new learning tasks (e.g., in the context of new applications) and of methods for assessing performance on those tasks Game playing Industrial, financial, and scientific applications of all kinds Information retrieval Learning for improvement of communication schemes between systems Learning from instruction Learning in integrated architectures Learning Problems Machine Learning for modeling interactions between systems Machine Learning on computational approaches to learning Multi-agent learning Multistrategy learning Natural language processing New algorithms with empirical, theoretical, psychological, or biological justification Pattern Recognition technology to support discovery of system-environment interaction Problem solving and planning Reasoning and inference Reinforcement learning Robotics and control Scientific discovery 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.) Vision and speech perception Visualization of patterns in data Web mining Journal of Machine Learning Technologies, ISSN: 2229–3981 & ISSN: 2229-399X, is an essential journal for all academic and industrial researchers who want expert knowledge on all major advances research areas in the Machine Learning.The journal aims to provide the most complete and reliable source of information on current developments in the field. The emphasis will be on publishing quality articles rapidly and openly available to researchers worldwide. All published articles will be deposited immediately upon publication in widely and internationally recognized open access repository. Moreover, it is providing the maximum exposure to the articles.The journal will be essential reading for scientists and researchers who wish to keep abreast of the latest developments in the field. The publishers are confident of the journal’s rapid success.Bioinfo Journals are indexed in: Biblio [Vrije Universiteit Brussel], Bioinfopress, Cabell Publishing, Inc., USA, CAS [Chemical Abstracts Service], CSA, Directory of open access journals [DOAJ],EBSCO Publishing, eLibrary, ERIC [The Education Resources Information Center], Genamics JournalSeek, Geneva Foundation for Medical Education and Research, GeonD, Google Scholar, Google, IBID, IndexCopernicus, Informatics, IRNEM, J-Gate, Lippincott Williams & Wilkins, Lupton Library [The University of Tennessee at Chattanooga], NewJour [Electronic Journals and Newsletter], OCLC, OhioLINK, Open Access, Open J-Gate, Ovid, ProQuest, PubsHub, QSpace, SCIRUS, Smithsonian Institution Libraries, Socolar, Tulips [University of Tsukuba Library], UCSD Libraries-NewJour Project, Universe Digital Library Sdn Bhd,URMC [University of Rochester Medical Center], Wolters Kluwer Health Medical Research, Revistas Electronicas [Universidad Veracruzana], Biblioteca de Recursos, Biblioteca.Net, Sistema Bibliotecario di Ateneo [Università degli Studi di Padova], River Campus Libraries [University of Rochester Libraries], York University Libraries, Ulrichsweb™ [Global Serials Directory], Georgetown University Library, The University of the District of Columbia, ALADIN services, WorldCat is the world's largest library catalog, German National Library of Science and Technology, Univeristy Library Hannover - TIB/UB, Columbia University Libraries, Chabot College Library, Academic Index, Infotopia, CABI Abstracts, Global Health databases
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Impact Factor (IF): 2024 still computing
ISSN-L: 2229399X 2229 399X
Update: 2011-04-22 21:35:33
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