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NIPS
2000
15 years 6 months ago
Algorithms for Non-negative Matrix Factorization
Non-negative matrix factorization (NMF) has previously been shown to be a useful decomposition for multivariate data. Two different multiplicative algorithms for NMF are analyzed....
Daniel D. Lee, H. Sebastian Seung
NN
2000
Springer
161views Neural Networks» more  NN 2000»
15 years 4 months ago
How good are support vector machines?
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
Sarunas Raudys
129
Voted
JAT
2010
63views more  JAT 2010»
15 years 3 months ago
Symmetric box-splines on the A*n lattice
Sampling and reconstruction of generic multivariate functions is more efficient on non-Cartesian root lattices, such as the BCC (Body-Centered Cubic) lattice, than on the Cartesia...
Minho Kim, Jörg Peters
ICMLC
2010
Springer
15 years 2 months ago
CMAC-based fault accommodation control for tank system
- This paper presents a learning approach using cerebellar model articulation controller (CMAC) to accommodate faults for a class of multivariable nonlinear systems. A CMAC is prop...
Chih-Min Lin, Chang-Chih Chung, Yu-Ju Liu, Daniel ...
NAR
2010
189views more  NAR 2010»
14 years 11 months ago
Serial Expression Analysis: a web tool for the analysis of serial gene expression data
Serial transcriptomics experiments investigate the dynamics of gene expression changes associated with a quantitative variable such as time or dosage. The statistical analysis of ...
María José Nueda, José Carbon...