基本信息
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个人简介
Peter still likes to span a range of disciplines from machine learning and natural computation to complex systems. He loves the challenges brought up by truly cross-disciplinary work and enjoys collaborating with colleagues from around the world. Peter likes teaching. If you prefer the old-style teaching with pen and whiteboard, you are very welcome to his lectures! He believes that everything is teachable if the story behind the material is communicated in the right way.
RESEARCH INTERESTS
Artificial Intelligence, Machine Learning, Statistical Pattern Recognition,
Natural Computation
Computational Models of Dynamical Systems, Evolution of Complexity in Self-Organizing Systems
Fractal and Multifractal Analysis
Knowledge Representation in Connectionist Connectionist Models, Integration of Symbolic and Connectionist Paradigms, Hybrid Systems
RESEARCH INTERESTS
Artificial Intelligence, Machine Learning, Statistical Pattern Recognition,
Natural Computation
Computational Models of Dynamical Systems, Evolution of Complexity in Self-Organizing Systems
Fractal and Multifractal Analysis
Knowledge Representation in Connectionist Connectionist Models, Integration of Symbolic and Connectionist Paradigms, Hybrid Systems
研究兴趣
论文共 321 篇作者统计合作学者相似作者
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Krishna M. Gokhale, Joht Singh Chandan,Chris Sainsbury,Peter Tino, Abd Tahrani, Konstantinos Toulis,Krishnarajah Nirantharakumar
Nature Communicationsno. 1 (2024): 1-18
Cellsno. 5 (2023): 772-772
Proceedings of the National Academy of Sciences of the United States of Americano. 12 (2023): e2215752120-e2215752120
2023 14th International Conference on Measurementpp.6-9, (2023)
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Petra Awad,Marco Canducci,Eduardo Balbinot,Akshara Viswanathan, Hanneke C. Woudenberg, Orlin Koop,Reynier Peletier,Peter Tino,Else Starkenburg,Rory Smith,Kerstin Bunte
arxiv(2023)
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Frontiers in physiology (2023): 1264690
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