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180
Voted
BMCBI
2010
14 years 10 months ago
2010
Background: Genome context methods have been introduced in the last decade as automatic methods to predict functional relatedness between genes in a target genome using the patter...
108
Voted
BMCBI
2007
15 years 3 months ago
2007
Background: Sequence-derived structural and physicochemical descriptors have frequently been used in machine learning prediction of protein functional families, thus there is a ne...
140
Voted
IAJIT
2007
15 years 3 months ago
2007
: Word prediction is an important NLP problem in which we want to predict the correct word in a given context. Word completion utilities, predictive text entry systems, writing aid...
137
Voted
AIIA
2001
Springer
15 years 8 months ago
2001
Springer
The exponential growth of documents available in the World Wide Web makes it increasingly difficult to discover relevant information on a specific topic. In this context, growing ...
132
Voted
MICCAI
2005
Springer
16 years 4 months ago
2005
Springer
Abstract. In this paper, we propose a new dynamic learning framework that requires a small amount of labeled data in the beginning, then incrementally discovers informative unlabel...