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» INSPIRE: A New Method of Mapping Information Spaces
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IJCAI
2007
14 years 11 months ago
Improving Embeddings by Flexible Exploitation of Side Information
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...
Ali Ghodsi, Dana F. Wilkinson, Finnegan Southey
BMCBI
2006
116views more  BMCBI 2006»
14 years 10 months ago
Whole genome association mapping by incompatibilities and local perfect phylogenies
Background: With current technology, vast amounts of data can be cheaply and efficiently produced in association studies, and to prevent data analysis to become the bottleneck of ...
Thomas Mailund, Søren Besenbacher, Mikkel H...
DMIN
2009
142views Data Mining» more  DMIN 2009»
14 years 7 months ago
A Combinatorial Fusion Method for Feature Construction
- This paper demonstrates how methods borrowed from information fusion can improve the performance of a classifier by constructing (i.e., fusing) new features that are combinations...
Ye Tian, Gary M. Weiss, D. Frank Hsu, Qiang Ma
NAR
1998
161views more  NAR 1998»
14 years 9 months ago
Touring protein fold space with Dali/FSSP
The FSSP database and its new supplement, the Dali Domain Dictionary, present a continuously updated classification of all known 3D protein structures. The classification is deriv...
Liisa Holm, Chris Sander
BMCBI
2006
179views more  BMCBI 2006»
14 years 10 months ago
Accurate and unambiguous tag-to-gene mapping in serial analysis of gene expression
Background: In this study, we present a robust and reliable computational method for tag-togene assignment in serial analysis of gene expression (SAGE). The method relies on curre...
Rodrigo Malig, Cristian Varela, Eduardo Agosin, Fr...