Knowledge Technologies Jožef Stefan Institute
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Knowledge Technologies

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SEMINAR #213

Ensembles for Predicting Structured Outputs: A Case Study in Functional Genomics

Dragi Kocev, IJS

Tuesday, Feb. 2nd, 13:00, E8/9 Orange Room

Using extended methods for ensembles of trees, various structured outputs can be predicted in a scalable way.
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KT HOMEMission | Basic info in Slovene
 
Our goal is to advance cutting-edge research and applications of knowledge technologies, including data, text and web mining, machine learning, decision support, language technologies, knowledge management, and other information technologies that support the acquisition, management, modelling and use of knowledge and data.

 
Department members have authored and edited numerous scientific books, and chaired international conferences and workshops. We currently participate in around twenty FP6 and FP7 EU projects, one of which we also coordinate.

Our technologies have been successfully applied to many practical problems, including earthquake prediction, selection of applicants for loans of the National Housing Fund, analysis of UK traffic accidents, medical diagnosis, analysis of the Slovenian public healthcare system, scientific digital editions of Slovene literature, improving the functionality of Microsoft Internet Explorer, and analysis and visualization of European IST research projects.
 
Department presentation (PPT), brochure (PPT) and annual report 2008 (PDF)
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Jozef Stefan International Postgraduate School