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NN
2010
Springer
189views Neural Networks» more  NN 2010»
13 years 2 months ago
Sparse kernel learning with LASSO and Bayesian inference algorithm
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
Junbin Gao, Paul W. Kwan, Daming Shi
KAIS
2010
139views more  KAIS 2010»
13 years 6 months ago
Periodic subgraph mining in dynamic networks
In systems of interacting entities such as social networks, interactions that occur regularly typically correspond to significant, yet often infrequent and hard to detect, interact...
Mayank Lahiri, Tanya Y. Berger-Wolf
INFOCOM
2005
IEEE
14 years 1 months ago
Hybrid search schemes for unstructured peer-to-peer networks
— We study hybrid search schemes for unstructured peer-to-peer networks. We quantify performance in terms of number of hits, network overhead, and response time. Our schemes comb...
Christos Gkantsidis, Milena Mihail, Amin Saberi
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
13 years 6 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish
CORR
2006
Springer
121views Education» more  CORR 2006»
13 years 8 months ago
On Performance of Event-to-Sink Transport in Transmit-Only Sensor Networks
We consider a hybrid wireless sensor network with regular and transmit-only sensors. The transmit-only sensors do not have receiver circuit, hence are cheaper and less energy consu...
Bartlomiej Blaszczyszyn, Bozidar Radunovic