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BMCBI
2008
169views more  BMCBI 2008»
15 years 6 months ago
A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
Background: Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with several molecular sig...
Alexander R. Statnikov, Lily Wang, Constantin F. A...
ICML
2008
IEEE
16 years 7 months ago
Localized multiple kernel learning
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
Ethem Alpaydin, Mehmet Gönen
ICML
2006
IEEE
16 years 7 months ago
Nonstationary kernel combination
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
Darrin P. Lewis, Tony Jebara, William Stafford Nob...
WWW
2008
ACM
16 years 6 months ago
SPARQL basic graph pattern optimization using selectivity estimation
In this paper, we formalize the problem of Basic Graph Pattern (BGP) optimization for SPARQL queries and main memory graph implementations of RDF data. We define and analyze the c...
Markus Stocker, Andy Seaborne, Abraham Bernstein, ...
VLSID
2002
IEEE
94views VLSI» more  VLSID 2002»
16 years 6 months ago
A Unified Method to Handle Different Kinds of Placement Constraints in Floorplan Design
In floorplan design, it is common that a designer will want to control the positions of some modules in the final packing for various purposes like data path alignment, I/O connec...
Evangeline F. Y. Young, Chris C. N. Chu, M. L. Ho