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BMCBI
2010
74views more  BMCBI 2010»
13 years 9 months ago
A weighted q-gram method for glycan structure classification
Background: Glycobiology pertains to the study of carbohydrate sugar chains, or glycans, in a particular cell or organism. Many computational approaches have been proposed for ana...
Limin Li, Wai-Ki Ching, Takako Yamaguchi, Kiyoko F...
NIPS
1990
13 years 10 months ago
Bumptrees for Efficient Function, Constraint and Classification Learning
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
Stephen M. Omohundro
RECOMB
2004
Springer
14 years 9 months ago
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, ...
APVIS
2009
13 years 10 months ago
Point-based tree representation: A new approach for large hierarchies
Space-filling layout techniques for tree representations are frequently used when the available screen space is small or the data set is large. In this paper, we propose a new app...
Hans-Jörg Schulz, Steffen Hadlak, Heidrun Sch...
FOIKS
2008
Springer
13 years 10 months ago
SIM-PDT: A Similarity Based Possibilistic Decision Tree Approach
This paper investigates an extension of classification trees to deal with uncertain information where uncertainty is encoded in possibility theory framework. Class labels in data s...
Ilyes Jenhani, Nahla Ben Amor, Salem Benferhat, Zi...