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ICML
2010
IEEE
13 years 11 months ago
Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process
Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...
Kevin R. Canini, Mikhail M. Shashkov, Thomas L. Gr...
ICML
2010
IEEE
13 years 11 months ago
Cognitive Models of Test-Item Effects in Human Category Learning
Imagine two identical people receive exactly the same training on how to classify certain objects. Perhaps surprisingly, we show that one can then manipulate them into classifying...
Xiaojin Zhu, Bryan R. Gibson, Kwang-Sung Jun, Timo...
AIEDAM
2008
92views more  AIEDAM 2008»
13 years 10 months ago
A review of function modeling: Approaches and applications
This work is aimed at establishing a common frame and understanding of function modeling (FM) for our ongoing research activities. A comparative review of the literature is perfor...
M. S. Erden, H. Komoto, T. J. van Beek, V. D'Ameli...
ECEASST
2006
95views more  ECEASST 2006»
13 years 10 months ago
Towards Translating Graph Transformation Approaches by Model Transformations
Abstract. Recently, many researchers are working on semantics preserving model transformation. In the field of graph transformation one can think of translating graph grammars writ...
Frank Hermann, Harmen Kastenberg, Tony Modica
KI
2008
Springer
13 years 10 months ago
Learning Dance Movements by Imitation: A Multiple Model Approach
Abstract. Imitation learning is an intuitive and easy way of programming robots. Instead of specifying motor commands, you simply show the robot what to do. This paper presents a m...
Axel Tidemann, Pinar Öztürk