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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
STOC
2010
ACM
269views Algorithms» more  STOC 2010»
15 years 4 months ago
Approximations for the Isoperimetric and Spectral Profile of Graphs and Related Parameters
The spectral profile of a graph is a natural generalization of the classical notion of its Rayleigh quotient. Roughly speaking, given a graph G, for each 0 < < 1, the spect...
Prasad Raghavendra, David Steurer and Prasad Tetal...
COLT
1993
Springer
15 years 4 months ago
Bounding the Vapnik-Chervonenkis Dimension of Concept Classes Parameterized by Real Numbers
The Vapnik-Chervonenkis (V-C) dimension is an important combinatorial tool in the analysis of learning problems in the PAC framework. For polynomial learnability, we seek upper bou...
Paul W. Goldberg, Mark Jerrum
STOC
1993
ACM
264views Algorithms» more  STOC 1993»
15 years 4 months ago
Contention in shared memory algorithms
Most complexity measures for concurrent algorithms for asynchronous shared-memory architectures focus on process steps and memory consumption. In practice, however, performance of ...
Cynthia Dwork, Maurice Herlihy, Orli Waarts
CTRS
1990
15 years 4 months ago
Completion Procedures as Semidecision Procedures
Completion procedures, originated from the seminal work of Knuth and Bendix, are wellknown as procedures for generating confluent rewrite systems, i.e. decision procedures for al ...
Maria Paola Bonacina, Jieh Hsiang
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