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» Introduction to Randomized Algorithms
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TSP
2011
197views more  TSP 2011»
14 years 9 months ago
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, S...
ITIIS
2010
247views more  ITIIS 2010»
14 years 9 months ago
An Efficient Overlay for Unstructured P2P File Sharing over MANET using Underlying Cluster-based Routing
In traditional unstructured P2P file sharing network, each peer establishes connections with a certain number of randomly chosen other peers. This would lead to redundant traffic ...
Nadir Shah, Depei Qian
117
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JISE
2010
144views more  JISE 2010»
14 years 9 months ago
Variant Methods of Reduced Set Selection for Reduced Support Vector Machines
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...
Li-Jen Chien, Chien-Chung Chang, Yuh-Jye Lee
171
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PROMISE
2010
14 years 9 months ago
Replication of defect prediction studies: problems, pitfalls and recommendations
Background: The main goal of the PROMISE repository is to enable reproducible, and thus verifiable or refutable research. Over time, plenty of data sets became available, especial...
Thilo Mende
124
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SIAMMAX
2010
145views more  SIAMMAX 2010»
14 years 9 months ago
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection
In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...
Zhaosong Lu