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SIAMCOMP
1998
124views more  SIAMCOMP 1998»
14 years 11 months ago
Near-Linear Time Construction of Sparse Neighborhood Covers
This paper introduces a near-linear time sequential algorithm for constructing a sparse neighborhood cover. This implies analogous improvements (from quadratic to near-linear time)...
Baruch Awerbuch, Bonnie Berger, Lenore Cowen, Davi...
ACL
2009
14 years 9 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
SIROCCO
1997
15 years 1 months ago
Static Frequency Assignment in Cellular Networks
A cellular network is generally modeled as a subgraph of the triangular lattice. In the static frequency assignment problem, each vertex of the graph is a base station in the netw...
Lata Narayanan, Sunil M. Shende
EWSN
2004
Springer
15 years 5 months ago
Networked Slepian-Wolf: Theory and Algorithms
Abstract. In this paper, we consider the minimization of a relevant energy consumption related cost function in the context of sensor networks where correlated sources are generate...
Razvan Cristescu, Baltasar Beferull-Lozano, Martin...
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SAT
2010
Springer
172views Hardware» more  SAT 2010»
14 years 10 months ago
On the Relative Merits of Simple Local Search Methods for the MAX-SAT Problem
Algorithms based on local search are popular for solving many optimization problems including the maximum satisfiability problem (MAXSAT). With regard to MAXSAT, the state of the ...
Denis Pankratov, Allan Borodin