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» Input Modeling Using Quantile Statistical Methods
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ISBRA
2010
Springer
13 years 6 months ago
A Consensus Tree Approach for Reconstructing Human Evolutionary History and Detecting Population Substructure
The random accumulation of variations in the human genome over time implicitly encodes a history of how human populations have arisen, dispersed, and intermixed since we emerged as...
Ming-Chi Tsai, Guy E. Blelloch, R. Ravi, Russell S...
BMCBI
2008
146views more  BMCBI 2008»
13 years 7 months ago
A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
Background: The previous studies of genome-wide expression patterns show that a certain percentage of genes are cell cycle regulated. The expression data has been analyzed in a nu...
Chang Sik Kim, Cheol Soo Bae, Hong Joon Tcha
KDD
2008
ACM
137views Data Mining» more  KDD 2008»
14 years 8 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
ISSRE
2002
IEEE
14 years 16 days ago
Toward A Quantifiable Definition of Software Faults
An important aspect of developing models relating the number and type of faults in a software system to a set of structural measurement is defining what constitutes a fault. By de...
John C. Munson, Allen P. Nikora
CVIU
2007
152views more  CVIU 2007»
13 years 7 months ago
A random sampling strategy for piecewise planar scene segmentation
We investigate the problem of automatically creating 3D models of man-made environments that we represent as collections of textured planes. A typical approach is to automatically...
Adrien Bartoli