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CANDC
2005
ACM
15 years 3 months ago
Gene selection from microarray data for cancer classification - a machine learning approach
A DNA microarray can track the expression levels of thousands of genes simultaneously. Previous research has demonstrated that this technology can be useful in the classification ...
Yu Wang 0008, Igor V. Tetko, Mark A. Hall, Eibe Fr...
106
Voted
IJCIS
2000
40views more  IJCIS 2000»
15 years 3 months ago
Lessons Learned from Applying AI to the Web
Ontobroker applies Artificial Intelligence techniques to improve access to heterogeneous, distributed and semistructured information sources as they are presented in the World Wid...
Dieter Fensel, Jürgen Angele, Stefan Decker, ...
IJMI
2002
108views more  IJMI 2002»
15 years 3 months ago
Learning anchor verbs for biological interaction patterns from published text articles
: Much of knowledge modeling in the molecular biology domain involves interactions between proteins, genes, various forms of RNA, small molecules, etc. Interactions between these s...
Vasileios Hatzivassiloglou, Wubin Weng
REALWSN
2010
15 years 1 months ago
Motes in the Jungle: Lessons Learned from a Short-Term WSN Deployment in the Ecuador Cloud Forest
We study the characteristics of the communication links of a wireless sensor network in a tropical cloud forest in Ecuador, in the context of a wildlife monitoring application. Thi...
Matteo Ceriotti, Matteo Chini, Amy L. Murphy, Gian...
ICCV
2009
IEEE
15 years 1 months ago
Unsupervised learning of high-order structural semantics from images
Structural semantics are fundamental to understanding both natural and man-made objects from languages to buildings. They are manifested as repeated structures or patterns and are...
Jizhou Gao, Yin Hu, Jinze Liu, Ruigang Yang