Information may not be very accurate. Please help us update it.

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

Indexed By:

Impact Factor (IF): 2024 still computing

ISSN-L: 2229399X 2229 399X

Update: 2011-04-22 21:35:33