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NIPS
1997
15 years 8 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
BMCBI
2006
201views more  BMCBI 2006»
15 years 6 months ago
Gene selection algorithms for microarray data based on least squares support vector machine
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
165
Voted
CONSTRAINTS
1999
105views more  CONSTRAINTS 1999»
15 years 6 months ago
Algorithmic Power from Declarative Use of Redundant Constraints
Interval constraints can be used to solve problems in numerical analysis. In this paper we show that one can improve the performance of such an interval constraint program by the ...
Maarten H. van Emden
BMCBI
2008
136views more  BMCBI 2008»
15 years 6 months ago
A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...
MOBIHOC
2004
ACM
16 years 6 months ago
Error characteristics of ad hoc positioning systems (aps)
APS algorithms use the basic idea of distance vector routing to find positions in an ad hoc network using only a fraction of landmarks, for example GPS enabled nodes. All the node...
Dragos Niculescu, Badri Nath