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DSS
2007
127views more  DSS 2007»
14 years 11 months ago
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...
INFOCOM
2006
IEEE
15 years 5 months ago
Detecting Stations Cheating on Backoff Rules in 802.11 Networks Using Sequential Analysis
— As the commercial success of the IEEE 802.11 protocol has made wireless infrastructure widely deployed, user organizations are increasingly concerned about the new vulnerabilit...
Yanxia Rong, Sang Kyu Lee, Hyeong-Ah Choi
LREC
2010
202views Education» more  LREC 2010»
15 years 1 months ago
United we Stand: Improving Sentiment Analysis by Joining Machine Learning and Rule Based Methods
In the past, we have succesfully used machine learning approaches for sentiment analysis. In the course of those experiments, we observed that our machine learning method, althoug...
Vassiliki Rentoumi, Stefanos Petrakis, Manfred Kle...
CLEF
2009
Springer
15 years 27 days ago
A Rule-Based Acquisition Model Adapted for Morphological Analysis
We adapt the cognitively-oriented morphology acquisition model proposed in (Chan 2008) to perform morphological analysis, extending its concept of base-derived relationships to all...
Constantine Lignos, Erwin Chan, Mitchell P. Marcus...
CEC
2009
IEEE
15 years 6 months ago
Dispatching rules for production scheduling: A hyper-heuristic landscape analysis
— Hyper-heuristics or “heuristics to chose heuristics” are an emergent search methodology that seeks to automate the process of selecting or combining simpler heuristics in o...
Gabriela Ochoa, José Antonio Vázquez...