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» Algorithms for Large, Sparse Network Alignment Problems
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SIGIR
2006
ACM
14 years 1 months ago
You are what you say: privacy risks of public mentions
In today’s data-rich networked world, people express many aspects of their lives online. It is common to segregate different aspects in different places: you might write opinion...
Dan Frankowski, Dan Cosley, Shilad Sen, Loren G. T...
CORR
2007
Springer
144views Education» more  CORR 2007»
13 years 7 months ago
Distributing the Kalman Filter for Large-Scale Systems
This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
Usman A. Khan, José M. F. Moura
ICDM
2006
IEEE
76views Data Mining» more  ICDM 2006»
14 years 1 months ago
A Probabilistic Ensemble Pruning Algorithm
An ensemble is a group of learners that work together as a committee to solve a problem. However, the existing ensemble training algorithms sometimes generate unnecessary large en...
Huanhuan Chen, Peter Tiño, Xin Yao
CORR
2010
Springer
127views Education» more  CORR 2010»
13 years 6 months ago
Channels Reallocation In Cognitive Radio Networks Based On DNA Sequence Alignment
Nowadays, It has been shown that spectrum scarcity increased due to tremendous growth of new players in wireless base system by the evolution of the radio communication. Resent su...
Santosh Kumar Singh, Krishna Chandra Roy, Vibhakar...
VALUETOOLS
2006
ACM
176views Hardware» more  VALUETOOLS 2006»
14 years 1 months ago
How to solve large scale deterministic games with mean payoff by policy iteration
Min-max functions are dynamic programming operators of zero-sum deterministic games with finite state and action spaces. The problem of computing the linear growth rate of the or...
Vishesh Dhingra, Stephane Gaubert