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» Meaning Representation: From Continuity to Discreteness
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IJCAI
1997
13 years 11 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
JOCN
2011
74views more  JOCN 2011»
13 years 4 months ago
Cross-domain Effects of Music and Language Experience on the Representation of Pitch in the Human Auditory Brainstem
■ Neural encoding of pitch in the auditory brainstem is known to be shaped by long-term experience with language or music, implying that early sensory processing is subject to e...
Gavin M. Bidelman, Jackson T. Gandour, Ananthanara...
CDC
2009
IEEE
189views Control Systems» more  CDC 2009»
14 years 2 months ago
Dirac mixture approximation of multivariate Gaussian densities
— For the optimal approximation of multivariate Gaussian densities by means of Dirac mixtures, i.e., by means of a sum of weighted Dirac distributions on a continuous domain, a n...
Uwe D. Hanebeck, Marco F. Huber, Vesa Klumpp
AAAI
2012
12 years 6 days ago
Characterizing Multi-Agent Team Behavior from Partial Team Tracings: Evidence from the English Premier League
Real-world AI systems have been recently deployed which can automatically analyze the plan and tactics of tennis players. As the game-state is updated regularly at short intervals...
Patrick Lucey, Alina Bialkowski, Peter Carr, Eric ...
ICML
2010
IEEE
13 years 11 months ago
From Transformation-Based Dimensionality Reduction to Feature Selection
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy