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» Spotting Structure in Complex Time Dependent Flow
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78
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CIKM
1997
Springer
15 years 1 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
90
Voted
JSAC
2006
130views more  JSAC 2006»
14 years 9 months ago
Performance Preserving Topological Downscaling of Internet-Like Networks
Abstract--The Internet is a large, heterogeneous system operating at very high speeds and consisting of a large number of users. Researchers use a suite of tools and techniques in ...
Fragkiskos Papadopoulos, Konstantinos Psounis, Ram...
ISCA
2011
IEEE
271views Hardware» more  ISCA 2011»
14 years 1 months ago
CRIB: consolidated rename, issue, and bypass
Conventional high-performance processors utilize register renaming and complex broadcast-based scheduling logic to steer instructions into a small number of heavily-pipelined exec...
Erika Gunadi, Mikko H. Lipasti
ICNP
1996
IEEE
15 years 1 months ago
On the relationship between file sizes, transport protocols, and self-similar network traffic
Recent measurements of local-area and wide-area traffic have shown that network traffic exhibits variability at a wide range of scales. In this paper, we examine a mechanism that ...
Kihong Park, Gitae Kim, Mark Crovella
QUESTA
2006
94views more  QUESTA 2006»
14 years 9 months ago
Modeling teletraffic arrivals by a Poisson cluster process
In this paper we consider a Poisson cluster process N as a generating process for the arrivals of packets to a server. This process generalizes in a more realistic way the infinite...
Gilles Faÿ, Bárbara González-Ar...