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» Dominating Distributions and Learnability
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TNN
1998
111views more  TNN 1998»
15 years 4 months 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
129
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ICTIR
2009
Springer
15 years 11 months ago
Modeling the Score Distributions of Relevant and Non-relevant Documents
Empirical modeling of the score distributions associated with retrieved documents is an essential task for many retrieval applications. In this work, we propose modeling the releva...
Evangelos Kanoulas, Virgiliu Pavlu, Keshi Dai, Jav...
PPL
2008
94views more  PPL 2008»
15 years 5 months ago
Self-Stabilizing Graph Protocols
We provide self-stabilizing algorithms to obtain and maintain a maximal matching, maximal independent set or minimal dominating set in a given system graph. They converge in linea...
Wayne Goddard, Stephen T. Hedetniemi, David Pokras...
FOCS
2008
IEEE
15 years 11 months ago
Learning Geometric Concepts via Gaussian Surface Area
We study the learnability of sets in Rn under the Gaussian distribution, taking Gaussian surface area as the “complexity measure” of the sets being learned. Let CS denote the ...
Adam R. Klivans, Ryan O'Donnell, Rocco A. Servedio
ICDCS
2008
IEEE
15 years 11 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