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team:daniel_nyga [2015/04/22 16:01] – [Supervised Theses] nyga | team:daniel_nyga [2016/11/07 09:12] – [Teaching] nyga | ||
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|:::|Mail: |< | |:::|Mail: |< | ||
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====About==== | ====About==== | ||
Before I joined the Institute for Artificial Intelligence, | Before I joined the Institute for Artificial Intelligence, | ||
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Knowledge about actions and objects is represented as // | Knowledge about actions and objects is represented as // | ||
- | I am also involved in the European research projects [[http:// | + | I am involved in the European research projects [[http:// |
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+ | I am also the lead developer in the projects [[http:// | ||
If you are interested in a student project in any of the above topics, please contact me via E-Mail or just drop into my office. | If you are interested in a student project in any of the above topics, please contact me via E-Mail or just drop into my office. | ||
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====Teaching==== | ====Teaching==== | ||
- | * Foundations of Artificial Intelligence ([[https:// | + | |
- | * AI: Knowledge Acquisition and Representation ([[https:// | + | |
+ | * AI: Knowledge Acquisition and Representation ([[https:// | ||
* Foundations of Artificial Intelligence ([[https:// | * Foundations of Artificial Intelligence ([[https:// | ||
* AI: Knowledge Acquisition and Representation ([[https:// | * AI: Knowledge Acquisition and Representation ([[https:// | ||
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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
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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