164 search results - page 4 / 33 » Developing Genetic Algorithms for Boolean Matrix Factorizati... |
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Recent research in machine learning has focused on breaking audio spectrograms into separate sources of sound using latent variable decompositions. These methods require that the ...
ICPR
2010
IEEE
15 years 4 months ago
2010
IEEE
In this paper we develop a probabilistic interpretation and a full Bayesian inference for non-negative matrix deconvolution (NMFD) model. Our ultimate goal is unsupervised extract...
STOC
2003
ACM
15 years 9 months ago
2003
ACM
We consider a fundamental problem in computational learning theory: learning an arbitrary Boolean function which depends on an unknown set of k out of n Boolean variables. We give...
67
Voted
BIBE
2007
IEEE
15 years 1 months ago
2007
IEEE
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...
81
Voted
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
Recently Non-negative Matrix Factorization (NMF) has received a lot of attentions in information retrieval, computer vision and pattern recognition. NMF aims to find two non-nega...