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| Both sides previous revisionPrevious revisionNext revision | Previous revisionNext revisionBoth sides next revision | ||
| team:daniel_nyga [2013/09/09 08:24] – [Daniel Nyga, M.Sc. (TUM)] jworch | team:daniel_nyga [2013/10/01 13:24] – [Teaching] nyga | ||
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| ====Fields of Interest==== | ====Fields of Interest==== | ||
| * Artificial Intelligence | * Artificial Intelligence | ||
| + | * Probability Theory | ||
| * Probabilistic Knowledge Processing | * Probabilistic Knowledge Processing | ||
| * Machine Learning | * Machine Learning | ||
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| ====Teaching==== | ====Teaching==== | ||
| + | * Knowledge Acquisition and Representation ([[https:// | ||
| * Foundations of Artificial Intelligence ([[https:// | * Foundations of Artificial Intelligence ([[https:// | ||
| * Technical Cognitive Systems (Lecture & Tutorial, @TUM) ([[https:// | * Technical Cognitive Systems (Lecture & Tutorial, @TUM) ([[https:// | ||
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| * Web-enabled Learning of Models for Word Sense Disambiguation (Bachelor Thesis, Stephan Epping) | * Web-enabled Learning of Models for Word Sense Disambiguation (Bachelor Thesis, Stephan Epping) | ||
| * Grounding Words to Objects: A Joint Model for Co-reference and Entity Resolution Using Markov Logic Networks for Robot Instruction Processing (Diploma Thesis, Florian Meyer) | * Grounding Words to Objects: A Joint Model for Co-reference and Entity Resolution Using Markov Logic Networks for Robot Instruction Processing (Diploma Thesis, Florian Meyer) | ||
| + | |||
| ====== Publications ====== | ====== Publications ====== | ||
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