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» Algorithms for Finding Gene Clusters
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WEBI
2009
Springer
15 years 4 months ago
Summarizing Documents by Measuring the Importance of a Subset of Vertices within a Graph
— This paper presents a novel method of generating extractive summaries for multiple documents. Given a cluster of documents, we firstly construct a graph where each vertex repre...
Shouyuan Chen, Minlie Huang, Zhiyong Lu
HIS
2008
15 years 1 months ago
REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
Hernán Ahumada, Guillermo L. Grinblat, Luca...
CSDA
2010
208views more  CSDA 2010»
14 years 12 months ago
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...
JMLR
2010
187views more  JMLR 2010»
14 years 6 months ago
SFO: A Toolbox for Submodular Function Optimization
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
Andreas Krause
BMCBI
2007
116views more  BMCBI 2007»
14 years 11 months ago
Linear array of conserved sequence motifs to discriminate protein subfamilies: study on pyridine nucleotide-disulfide reductases
Background: The pyridine nucleotide disulfide reductase (PNDR) is a large and heterogeneous protein family divided into two classes (I and II), which reflect the divergent evoluti...
César L. Avila, Viviana A. Rapisarda, Ricar...