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» Forward and Backward Selection in Regression Hybrid Network
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CORR
2007
Springer
119views Education» more  CORR 2007»
13 years 8 months ago
Hybrid-ARQ in Multihop Networks with Opportunistic Relay Selection
This paper develops a contention-based opportunistic feedback technique towards relay selection in a dense wireless network. This technique enables the forwarding of additional pa...
Caleb K. Lo, Robert W. Heath Jr., Sriram Vishwanat...
AI
1998
Springer
14 years 23 days ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou
ICONIP
2004
13 years 10 months ago
Hybrid Feature Selection for Modeling Intrusion Detection Systems
Most of the current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (...
Srilatha Chebrolu, Ajith Abraham, Johnson P. Thoma...
IJCNN
2008
IEEE
14 years 2 months ago
Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
Sheng Chen, Xia Hong, Chris J. Harris
OSN
2007
132views more  OSN 2007»
13 years 8 months ago
Intermediate-node-initiation (INI): A generalized signaling framework for optical burst-switched networks
In this paper, we discuss different signaling techniques for optical burst-switched networks. We develop a generalized signaling framework for optical burst-switched networks, whi...
Vinod Vokkarane