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FLAIRS
2004
13 years 8 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
BMCBI
2005
97views more  BMCBI 2005»
13 years 7 months ago
The yeast kinome displays scale free topology with functional hub clusters
Background: The availability of interaction databases provides an opportunity for researchers to utilize immense amounts of data exclusively in silico. Recently there has been an ...
Robin E. C. Lee, Lynn A. Megeney
SIGMOD
2008
ACM
245views Database» more  SIGMOD 2008»
14 years 7 months ago
Information fusion in wireless sensor networks
In wireless sensor networks (WSNs), energy consumption and data quality are two important issues due to limited energy resources and the need for accurate data. In this scenario, i...
Eduardo Freire Nakamura, Antonio Alfredo Ferreira ...
BMCBI
2005
112views more  BMCBI 2005»
13 years 7 months ago
"Harshlighting" small blemishes on microarrays
Background: Microscopists are familiar with many blemishes that fluorescence images can have due to dust and debris, glass flaws, uneven distribution of fluids or surface coatings...
Mayte Suárez-Fariñas, Asifa Haider, ...
IPPS
2008
IEEE
14 years 1 months ago
High-speed string searching against large dictionaries on the Cell/B.E. Processor
Our digital universe is growing, creating exploding amounts of data which need to be searched, protected and filtered. String searching is at the core of the tools we use to curb...
Daniele Paolo Scarpazza, Oreste Villa, Fabrizio Pe...