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» Optimal Combination of Sampled Network Measurements
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ANTSW
2006
Springer
13 years 10 months ago
An Analysis of the Different Components of the AntHocNet Routing Algorithm
Abstract. Mobile ad hoc networks are a class of highly dynamic networks. In previous work, we developed a new routing algorithm, called AntHocNet, for these challenging network env...
Frederick Ducatelle, Gianni Di Caro, Luca Maria Ga...
VLDB
2004
ACM
134views Database» more  VLDB 2004»
14 years 2 days ago
Memory-Limited Execution of Windowed Stream Joins
We address the problem of computing approximate answers to continuous sliding-window joins over data streams when the available memory may be insufficient to keep the entire join...
Utkarsh Srivastava, Jennifer Widom
DAGM
2011
Springer
12 years 6 months ago
Relaxed Exponential Kernels for Unsupervised Learning
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...
CORR
2007
Springer
94views Education» more  CORR 2007»
13 years 6 months ago
Statistical tools to assess the reliability of self-organizing maps
Results of neural network learning are always subject to some variability, due to the sensitivity to initial conditions, to convergence to local minima, and, sometimes more dramat...
Eric de Bodt, Marie Cottrell, Michel Verleysen
RECOMB
2009
Springer
14 years 7 months ago
Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information
Abstract. Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotation information for som...
Saket Navlakha, James Robert White, Niranjan Nagar...