107 search results - page 11 / 22 » Dimensionality reduction by unsupervised regression |
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
CICLING
2007
Springer
14 years 1 months ago
2007
Springer
Term selection process is a very necessary component for most natural language processing tasks. Although different unsupervised techniques have been proposed, the best results ar...
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
Semi-definite Embedding (SDE) has been a recently proposed to maximize the sum of pair wise squared distances between outputs while the input data and outputs are locally isometri...
ICANN
2003
Springer
14 years 22 days ago
2003
Springer
Locally linear embedding (LLE) is a recently proposed method for unsupervised nonlinear dimensionality reduction. It has a number of attractive features: it does not require an ite...
ACMACE
2008
ACM
13 years 9 months ago
2008
ACM
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...