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  Structured Input - Structured Output

Borgwardt, K., Tsuda, K., Vishwanathan, S., & Yan, X. (2008). Structured Input - Structured Output. Talk presented at NIPS 2008 Workshop: Structured Input - Structured Output (NIPS SISO 2008). Whistler, BC, Canada. 2008-12-12.

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Borgwardt, KM1, 2, Author           
Tsuda, K2, 3, Author           
Vishwanathan, SVN, Author
Yan, X, Author
Affiliations:
1Former Research Group Machine Learning and Computational Biology, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528696              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Abstract: Structured data emerges rapidly in a large number of disciplines: bioinformatics, systems biology, social network analysis, natural language processing and the Internet generate large collections of strings, graphs, trees, and time series. Designing and analysing algorithms for dealing with these large collections of struc- tured data has turned into a major focus of machine learning over recent years, both in the input and output domain of machine learning algorithms, and is starting to enable exciting new applications of machine learn- ing. The goal of this workshop is to bring together experts on learning with structured input and structured output domains and its applications, in order to exchange the latest developments in these growing fields. The workshop will feature keynotes by Prof. Eric Xing from Carnegie Mellon University and by Dr Yasemin Altun from the MPI for Biological Cybernetics.

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 Dates: 2008-12
 Publication Status: Published online
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Title: NIPS 2008 Workshop: Structured Input - Structured Output (NIPS SISO 2008)
Place of Event: Whistler, BC, Canada
Start-/End Date: 2008-12-12

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Title: NIPS 2008: Mini Symposia & Workshops
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 74 Identifier: -