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» Using a neural network in the software testing process
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LCN
2005
IEEE
14 years 2 months ago
AntiWorm NPU-based Parallel Bloom Filters for TCP/IP Content Processing in Giga-Ethernet LAN
—TCP/IP protocol suite carries most application data in Internet. TCP flow retrieval has more security meanings than the IP packet payload. Hence, monitoring the TCP flow has mor...
Zhen Chen, Chuang Lin, Jia Ni, Dong-Hua Ruan, Bo Z...
NIPS
1997
13 years 10 months ago
Nonlinear Markov Networks for Continuous Variables
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Reimar Hofmann, Volker Tresp
SAC
2009
ACM
14 years 4 months ago
Lightweight monitoring of sensor software
Wireless sensors are very small computers, and understanding the timing and behavior of software written for them is crucial to ensuring that they perform correctly. This paper ou...
Mustafa Hammad, Jonathan Cook
VLDB
1998
ACM
110views Database» more  VLDB 1998»
14 years 1 months ago
Massive Stochastic Testing of SQL
Deterministic testing of SQL database systems is human intensive and cannot adequately cover the SQL input domain. A system (RAGS), was built to stochastically generate valid SQL ...
Donald R. Slutz
KDD
2009
ACM
146views Data Mining» more  KDD 2009»
14 years 4 months ago
Mining in a mobile environment
Distributed PRocessing in Mobile Environments (DPRiME) is a framework for processing large data sets across an ad-hoc network. Developed to address the shortcomings of Google’s ...
Sean McRoskey, James Notwell, Nitesh V. Chawla, Ch...