Discriminative Modeling in NLP/SLP
Over a long period generative models such as HMMs are state-of-the-art in NLP/SLP. HMMs are successful in various domains. Speech Recognition, PoS-tagging, G2P, TTS etc…. HMMs have some limitations that recent statistical modeling approaches overcome. These statistical learning algorithms can be grouped under Discriminative Modeling or as in Speech Recognition under Discriminative Training. One of those algorithms is the Conditional Random Field approach. The talk gives an overview what a Conditional Random Field is and the difference between Generative Models and Discriminative Models.
Date: 2006-Oct-06 Time: 15:30:00 Room: 4th floor meeting room
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Workshop “Metabolism and mathematical models: Two for a tango” – 2nd Edition
Title: Workshop Metabolism and mathematical models: Two for a tango – 2nd Edition
Dates: October 25-26, 2022
Location: This workshop will be held in a virtual way
The topic of this workshop is metabolism in general, with a special focus, although not exclusive, on parasitology. Besides an exploration of the biological, biochemical and biomedical aspects, the workshop will also aim at presenting some of the mathematical modelling, algorithmic theory and software development that have become crucial to explore such aspects.
This workshop is being organised in the context of two projects, both with the Inria European Team Erable. One of the projects involves a partnership with the University of São Paulo (USP), in São Paulo, Brazil, more specifically the Institute of Mathematics and Statistics (IME) and the Institute of Biomedical Sciences – Inria Associated Team Capoeira – and the other involves the Inesc-ID/IST in Portugal, ETH in Zürich and EMBL in Heidelberg – H2020 Twinning Project Olissipo.
The workshop is open to all members of these two projects but also, importantly, to the community in general.
The program and more details are available here.