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DMIN
2006
134views Data Mining» more  DMIN 2006»
13 years 9 months ago
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Iryna Skrypnyk, Tin Kam Ho
CORR
2011
Springer
158views Education» more  CORR 2011»
13 years 2 months ago
SqFreeEVAL: An (almost) optimal real-root isolation algorithm
Let f be a univariate polynomial with real coefficients, f ∈ R[X]. Subdivision algorithms based on algebraic techniques (e.g., Sturm or Descartes methods) are widely used for is...
Michael Burr, Felix Krahmer
SODA
2010
ACM
213views Algorithms» more  SODA 2010»
14 years 5 months ago
Regular Expression Matching with Multi-Strings
Regular expression matching is a key task (and often computational bottleneck) in a variety of software tools and applications. For instance, the standard grep and sed utilities, ...
Philip Bille, Mikkel Thorup
BMCBI
2008
128views more  BMCBI 2008»
13 years 7 months ago
Finding sequence motifs with Bayesian models incorporating positional information: an application to transcription factor bindin
Background: Biologically active sequence motifs often have positional preferences with respect to a genomic landmark. For example, many known transcription factor binding sites (T...
Nak-Kyeong Kim, Kannan Tharakaraman, Leonardo Mari...
BMCBI
2010
122views more  BMCBI 2010»
13 years 7 months ago
Ovarian cancer classification based on dimensionality reduction for SELDI-TOF data
Background: Recent advances in proteomics technologies such as SELDI-TOF mass spectrometry has shown promise in the detection of early stage cancers. However, dimensionality reduc...
Kai-Lin Tang, Tong-Hua Li, Wen-Wei Xiong, Kai Chen