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CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 10 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
CEC
2007
IEEE
15 years 8 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...
ICDCS
2010
IEEE
15 years 8 months ago
Sentomist: Unveiling Transient Sensor Network Bugs via Symptom Mining
—Wireless Sensor Network (WSN) applications are typically event-driven. While the source codes of these applications may look simple, they are executed with a complicated concurr...
Yangfan Zhou, Xinyu Chen, Michael R. Lyu, Jiangchu...
GLOBECOM
2009
IEEE
15 years 8 months ago
Efficient Multicast Support in Buffered Crossbars using Networks on Chip
The Internet growth coupled with the variety of its services is creating an increasing need for multicast traffic support by backbone routers and packet switches. Recently, buffere...
Iria Varela Senin, Lotfi Mhamdi, Kees Goossens
CPAIOR
2008
Springer
15 years 6 months ago
Connections in Networks: A Hybrid Approach
This paper extends our previous work by exploring the use of a hybrid solution method for solving the connection subgraph problem. We employ a two phase solution method, which dras...
Carla P. Gomes, Willem Jan van Hoeve, Ashish Sabha...