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» Approximating the Number of Network Motifs
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IWANN
2009
Springer
13 years 12 months ago
Lower Bounds for Approximation of Some Classes of Lebesgue Measurable Functions by Sigmoidal Neural Networks
We propose a general method for estimating the distance between a compact subspace K of the space L1 ([0, 1]s ) of Lebesgue measurable functions defined on the hypercube [0, 1]s ,...
José Luis Montaña, Cruz E. Borges
CP
2008
Springer
13 years 9 months ago
Approximate Solution Sampling (and Counting) on AND/OR Spaces
In this paper, we describe a new algorithm for sampling solutions from a uniform distribution over the solutions of a constraint network. Our new algorithm improves upon the Sampli...
Vibhav Gogate, Rina Dechter
SIGCOMM
2006
ACM
14 years 1 months ago
Beyond bloom filters: from approximate membership checks to approximate state machines
Many networking applications require fast state lookups in a concurrent state machine, which tracks the state of a large number of flows simultaneously. We consider the question ...
Flavio Bonomi, Michael Mitzenmacher, Rina Panigrah...
TNN
2008
181views more  TNN 2008»
13 years 7 months ago
Optimized Approximation Algorithm in Neural Networks Without Overfitting
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
Yinyin Liu, Janusz A. Starzyk, Zhen Zhu
ICDCS
2008
IEEE
14 years 1 months ago
Two-Phased Approximation Algorithms for Minimum CDS in Wireless Ad Hoc Networks
— Connected dominating set (CDS) has a wide range of applications in wireless ad hoc networks. A number of distributed algorithms for constructing a small CDS in wireless ad hoc ...
Peng-Jun Wan, Lixin Wang, F. Frances Yao