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» Scalable data dissemination using hybrid methods
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SIGMOD
2006
ACM
113views Database» more  SIGMOD 2006»
14 years 8 months ago
XPORT: extensible profile-driven overlay routing trees
XPORT is a profile-driven distributed data dissemination system that supports an extensible set of data types, profiles types, and optimization metrics. XPORT efficiently implemen...
Olga Papaemmanouil, Yanif Ahmad, Ugur Çetin...
ESANN
2003
13 years 9 months ago
Accelerating the convergence speed of neural networks learning methods using least squares
In this work a hybrid training scheme for the supervised learning of feedforward neural networks is presented. In the proposed method, the weights of the last layer are obtained em...
Oscar Fontenla-Romero, Deniz Erdogmus, José...
ISCC
2003
IEEE
120views Communications» more  ISCC 2003»
14 years 1 months ago
DIP: Distance Information Protocol for IDMaps
The Internet Distance Map Service (IDMaps) [3] provides distance estimates between any pair of hosts connected to the Internet. The IDMaps system comprises two component types: Tr...
Yixin Jin, Beichuan Zhang, Vasileios Pappas, Lixia...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 8 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
ASUNAM
2011
IEEE
12 years 7 months ago
Content-based Modeling and Prediction of Information Dissemination
—Social and communication networks across the world generate vast amounts of graph-like data each day. The modeling and prediction of how these communication structures evolve ca...
Kathy Macropol, Ambuj K. Singh