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INFOCOM
1998
IEEE
14 years 1 months ago
A Stochastic Approximation Approach for Max-Min Fair Adaptive Rate Control of ABR Sessions with MCRs
The ABR sessions in an ATM network share the bandwidth left over after guaranteeing service to CBR and VBR traffic. Hence the bandwidth available to ABR sessions is randomly varyi...
Santosh Paul Abraham, Anurag Kumar
COLT
1992
Springer
14 years 26 days ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi
GLOBECOM
2009
IEEE
14 years 20 days ago
Stochastic Properties and Application of City Section Mobility Model
Abstract--Node mobility has a direct impact on the performance evaluation of various network mobility protocols. Unfortunately, most of the analysis on mobility protocols used Rand...
Md. Shohrab Hossain, Mohammed Atiquzzaman
CIAC
2010
Springer
259views Algorithms» more  CIAC 2010»
14 years 16 days ago
On Strategy Improvement Algorithms for Simple Stochastic Games
The study of simple stochastic games (SSGs) was initiated by Condon for analyzing the computational power of randomized space-bounded alternating Turing machines. The game is play...
Rahul Tripathi, Elena Valkanova, V. S. Anil Kumar
DMIN
2006
134views Data Mining» more  DMIN 2006»
13 years 10 months ago
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Iryna Skrypnyk, Tin Kam Ho