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JMLR
2010
143views more  JMLR 2010»
14 years 12 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
JOC
2010
96views more  JOC 2010»
14 years 12 months ago
On the Efficient Generation of Prime-Order Elliptic Curves
We consider the generation of prime-order elliptic curves (ECs) over a prime field Fp using the Complex Multiplication (CM) method. A crucial step of this method is to compute the ...
Elisavet Konstantinou, Aristides Kontogeorgis, Yan...
TON
2010
127views more  TON 2010»
14 years 11 months ago
Approximation Algorithms for Wireless Link Scheduling With SINR-Based Interference
In this paper, we consider the classical problem of link scheduling in wireless networks under an accurate interference model, in which correct packet reception at a receiver node ...
Douglas M. Blough, Giovanni Resta, Paolo Santi
TON
2010
198views more  TON 2010»
14 years 11 months ago
On Wireless Scheduling Algorithms for Minimizing the Queue-Overflow Probability
Abstract-- In this paper, we are interested in wireless scheduling algorithms for the downlink of a single cell that can minimize the queue-overflow probability. Specifically, in a...
V. J. Venkataramanan, Xiaojun Lin
TSP
2010
14 years 11 months ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...