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» On a theory of learning with similarity functions
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KR
1998
Springer
15 years 4 months ago
What Robots Can Do
In this paper, we propose a definition of goal achievability: given a basic action theory describing an initial state of the world and some primitive actions available to a robot,...
Hector J. Levesque
NIPS
2008
15 years 1 months ago
Model selection and velocity estimation using novel priors for motion patterns
Psychophysical experiments show that humans are better at perceiving rotation and expansion than translation. These findings are inconsistent with standard models of motion integr...
Shuang Wu, Hongjing Lu, Alan L. Yuille
IJON
2007
104views more  IJON 2007»
14 years 11 months ago
A probabilistic model of eye movements in concept formation
It has been unclear whether optimal experimental design accounts of data selection may offer insight into evidence acquisition tasks in which the learner’s beliefs change greatl...
Jonathan D. Nelson, Garrison W. Cottrell
ICNC
2005
Springer
15 years 5 months ago
On the Categorizing of Simply Separable Relations in Partial Four-Valued Logic
In completeness theories of multiple-valued logic, the characterization of Sheffer functions is an important problem,and the solution can be reduced to determining the minimal co...
Renren Liu, Zhiwei Gong, Fen Xu
IJON
2007
184views more  IJON 2007»
14 years 11 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen