CORDIS Project
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This project develops advanced machine learning techniques to tackle complex inference tasks across various fields like natural language processing and bioinformatics. By addressing limitations of traditional methods, it aims to enhance performance in applications such as document translation and protein structure iden…
In this project, we are interested in developing machine learning methods for complex inference problems that occur frequently in real world applications.
Such problems are ubiquitous in many fields, ranging from natural language processing to bioinformatics, from computer vision to information retrieval.
Examples include automatic translation of documents across languages, motion tracking of individuals in video sequences and identifying 3D structure of proteins.
The predominant approach fo…
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
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