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145
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IBPRIA
2009
Springer
15 years 8 months ago
Inference and Learning for Active Sensing, Experimental Design and Control
In this paper we argue that maximum expected utility is a suitable framework for modeling a broad range of decision problems arising in pattern recognition and related fields. Exa...
Hendrik Kück, Matthew Hoffman, Arnaud Doucet,...
166
Voted
AAAI
2006
15 years 5 months ago
Perspective Taking: An Organizing Principle for Learning in Human-Robot Interaction
The ability to interpret demonstrations from the perspective of the teacher plays a critical role in human learning. Robotic systems that aim to learn effectively from human teach...
Matt Berlin, Jesse Gray, Andrea Lockerd Thomaz, Cy...
146
Voted
AISADM
2005
Springer
15 years 9 months ago
A Cooperative Multi-agent Data Mining Model and Its Application to Medical Data on Diabetes
Abstract. We present CoLe, a model for cooperative agents for mining knowledge from heterogeneous data. CoLe allows for the cooperation of different mining agents and the combinat...
Jie Gao, Jörg Denzinger, Robert C. James
137
Voted
ATAL
2007
Springer
15 years 9 months ago
Emergence of global network property based on multi-agent voting model
Recent studies have shown that various models can explain the emergence of complex networks, such as scale-free and small-world networks. This paper presents a different model to...
Kousuke Shinoda, Yutaka Matsuo, Hideyuki Nakashima
86
Voted
AAAI
2010
15 years 5 months ago
Ontologies and Representations of Matter
We carry out a comparative study of the expressive power of different ontologies of matter in terms of the ease with which simple physical knowledge can be represented. In particu...
Ernest Davis