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| team:daniel_nyga [2016/02/08 12:50] – [About] nyga | team:daniel_nyga [2016/11/07 09:25] – [Supervised Theses] nyga | ||
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| * Techniques in Artificial Intelligence (Tutorial, | * Techniques in Artificial Intelligence (Tutorial, | ||
| * Discrete Probability Theory (Tutorial, at TUM) ([[http:// | * Discrete Probability Theory (Tutorial, at TUM) ([[http:// | ||
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| ====Supervised Theses==== | ====Supervised Theses==== | ||
| + | * Lifelong Learning of First-order Probabilistic Models for Everyday Robot Manipulation (Master' | ||
| + | * Scaling Probabilistic Completion of Robot Instructions through Semantic Information Retrieval (Master' | ||
| * To see what no robot has seen before - Recognizing objects based on natural-language descriptions (Master' | * To see what no robot has seen before - Recognizing objects based on natural-language descriptions (Master' | ||
| * 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) | ||
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| ====== Publications ====== | ====== Publications ====== | ||
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
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Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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