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The MISEP, a new collaborative initiative of the School of Arts and Sciences Departments of Biology, Chemistry, Earth and Environmental Science, Mathematics, and Physics & Astronomy and the Graduate School of Education was offered for the first time in summer 2005. New cohorts will continue to start each summer...
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The Sweden 2009 MISEP Meeting Report - Mitigating the effects of the economic crisis on the labour market. The plenary and workshop presentations are also available.
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MISEP Network ... MISEP network collects and shares information on labour market policy measures in the Member States in order to support decision-making and to share experience and best practice between Member States. The aim of the MISEP network is to maintain up to date information and documentation on labour...
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MISEP is a generalization of the popular INFOMAX technique, which is extended in two ways: (1) to deal with nonlinear mixtures, and (2) to be able to adapt to the actual statistical distributions of the sources, by dynamically estimating the nonlinearities to be used at the outputs.
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Mutual information separation (MISEP) is a versatile independent component analysis (ICA) algorithm that can be used to handle linear and nonlinear mixtures.
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View Sandra Misep's professional profile on LinkedIn. LinkedIn is the world's largest business network, helping professionals like Sandra Misep discover inside connections to recommended job candidates, industry experts, and business partners. ... Contact Sandra Misep...
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MISEP Linear and Nonlinear ICA Toolbox ... 4.1 ICA method 4.3 Brief usage instructions ... This page gives access to a MATLAB toolbox for Independent Component Analysis (ICA) and Blind Source Separation (BSS), based on the MISEP method.
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MISEP Network Meeting on; “Jobs across the life course - making people work!”; 24-28 November 2004; Santpoort, The Netherlands; Produced by EEO Network Services; January 2005; EEO Network Services; ECOTEC Research and Consulting Ltd;
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MISEP has been proposed as a generalization of the INFOMAX method in two directions: (1) handling of nonlinear mixtures, and (2) learning the nonlinearities to be used at the outputs, making the method suitable to the separation of components with a wide range of statistical distributions. ... In all implementations up to now,
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Linear Independent Components Analysis (ICA) has become an important signal processing and data analysis technique, the typical application being blind ... MISEP -- Linear and Nonlinear ICA Based on Mutual Information (2003) [12 citations — 1 self] ... 4 Faster training in nonlinear ICA using MISEP – Almeida - 1998...
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