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team:daniel_nyga [2016/06/01 14:50] – [Supervised Theses] nyga | team:daniel_nyga [2017/05/10 16:24] – [About] 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, |
I'm working on the import of action-specific knowledge from the World Wide Web into the knowledge bases of our mobile robots. In particular, my current research focuses on understanding natural language, in order to enable a robot to autonomously acquire new high-level skills by querying web pages such as eHow.com or wikiHow.com. | I'm working on the import of action-specific knowledge from the World Wide Web into the knowledge bases of our mobile robots. In particular, my current research focuses on understanding natural language, in order to enable a robot to autonomously acquire new high-level skills by querying web pages such as eHow.com or wikiHow.com. | ||
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{{research: | {{research: | ||
- | Knowledge about actions and objects is represented as // | + | Knowledge about actions and objects is represented as // |
- | I am involved in the European research projects [[http:// | + | I was involved in the European research projects [[http:// |
- | I am also the lead developer in the projects [[http:// | + | I am also the lead developer in the projects [[http:// |
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- | 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==== | ||
+ | * Master Seminar: Data Mining and Data Analytics ([[http:// | ||
+ | * AI: Knowledge Acquisition and Representation ([[https:// | ||
* AI: Knowledge Acquisition and Representation ([[https:// | * AI: Knowledge Acquisition and Representation ([[https:// | ||
* Foundations of Artificial Intelligence ([[https:// | * Foundations of Artificial Intelligence ([[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' | * Lifelong Learning of First-order Probabilistic Models for Everyday Robot Manipulation (Master' | ||
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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) | ||
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====== Publications ====== | ====== Publications ====== | ||
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< | < | ||
</ | </ | ||
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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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