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MOC
2002
92views more  MOC 2002»
14 years 11 months ago
Effects of uncertainties in the domain on the solution of Neumann boundary value problems in two spatial dimensions
An essential part of any boundary value problem is the domain on which the problem is defined. The domain is often given by scanning or another digital image technique with limited...
Ivo Babuska, Jan Chleboun
COGSCI
2010
114views more  COGSCI 2010»
14 years 12 months ago
Strudel: A Corpus-Based Semantic Model Based on Properties and Types
Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meani...
Marco Baroni, Brian Murphy, Eduard Barbu, Massimo ...
EUROCOLT
1997
Springer
15 years 4 months ago
Vapnik-Chervonenkis Dimension of Recurrent Neural Networks
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
Pascal Koiran, Eduardo D. Sontag
PLDI
2009
ACM
15 years 6 months ago
A language for information flow: dynamic tracking in multiple interdependent dimensions
This paper presents λI , a language for dynamic tracking of information flow across multiple, interdependent dimensions of information. Typical dimensions of interest are integr...
Avraham Shinnar, Marco Pistoia, Anindya Banerjee
COMPGEOM
2006
ACM
15 years 5 months ago
An optimal-time algorithm for shortest paths on a convex polytope in three dimensions
We present an optimal-time algorithm for computing (an implicit representation of) the shortest-path map from a fixed source s on the surface of a convex polytope P in three dime...
Yevgeny Schreiber, Micha Sharir