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  1. Machine Learning
    Full Name of the Resource : Machine Learning
    Resource Category : Journals -> Bioinformatics -> Computational Biology
    Accesibility : Subscription Based Access

    Brief Description : 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. If features papers that describe research on problems and methods, applications research, and issues of research methodology. Papers making claims about learning problems or methods provide solid support via empirical studies, theoretical analysis, or comparison to psychological phenomena. Applications papers show how to apply learning methods to solve important applications problems. Research methodology papers improve how machine learning research is conducted. All papers describe the supporting evidence in ways that can be verified or replicated by other researchers. The papers also detail the learning component clearly and discuss assumptions regarding knowledge representation and the performance task.
    Subject Area : 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


    Publisher : Springer
    Country : Netherlands

    Publishing Since : 1986
    Frequency : 3
    Impact Factor (2009) : 1.663
    Indexing & Abstracting : ACM Computing Reviews, ACM Guide To Computing Literature, Compendex, Computer Abstracts International Database, Computer and Information Systems Abstracts, Computer Science Index, Current Contents/Engineering, Computing and Technology, Ei Page One, Electronics and Communications Abstracts, Engineering Index Monthly, Humanities Index, Inspec, Neuroscience Abstracts, PASCAL, PsycINFO, Science Citation Index, Science Citation Index Expanded (SciSearch), SCOPUS, Solid State and Superconductivity Abstracts, Wilson Applied Science & Technology Abstracts, Zentralblatt Math
    ISSN (Online) : 1573-0565

    Editor : Peter Flach
    Language : English