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104
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TNN
1998
111views more  TNN 1998»
15 years 4 days ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
TCS
2008
15 years 12 days ago
Approximation algorithms for partially covering with edges
The edge dominating set (EDS) and edge cover (EC) problems are classical graph covering problems in which one seeks a minimum cost collection of edges which covers the edges or ve...
Ojas Parekh
STOC
2006
ACM
152views Algorithms» more  STOC 2006»
16 years 24 days ago
Private approximation of search problems
Many approximation algorithms have been presented in the last decades for hard search problems. The focus of this paper is on cryptographic applications, where it is desired to de...
Amos Beimel, Paz Carmi, Kobbi Nissim, Enav Weinreb
ICDE
2008
IEEE
2751views Database» more  ICDE 2008»
17 years 7 days ago
Skyline Query Processing for Incomplete Data
Recently, there has been much interest in processing skyline queries for various applications that include decision making, personalized services, and search pruning. Skyline queri...
Justin J. Levandoski, Mohamed E. Khalefa, Mohamed ...
80
Voted
DAC
1999
ACM
16 years 1 months ago
An Efficient Lyapunov Equation-Based Approach for Generating Reduced-Order Models of Interconnect
In this paper we present a new algorithm for computing reduced-order models of interconnect which utilizes the dominant controllable subspace of the system. The dominant controlla...
Jing-Rebecca Li, Frank Wang, Jacob White