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CIKM
1997
Springer
15 years 4 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
JSAC
2006
130views more  JSAC 2006»
14 years 11 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 3 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 4 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 11 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...