3256 search results - page 155 / 652 » Learning Linear Transformations |
ACMACE
2008
ACM
14 years 7 days 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...
KDD
2010
ACM
14 years 6 days ago
2010
ACM
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
ECTEL
2007
Springer
14 years 4 months ago
2007
Springer
Creation of the reusable learning content in the process of work is a challenging but promising trend in e-learning and knowledge management. While the main research focus nowadays...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
We present the first temporal-difference learning algorithm for off-policy control with unrestricted linear function approximation whose per-time-step complexity is linear in the ...
DCC
2004
IEEE
14 years 9 months ago
2004
IEEE
Many technical imaging applications, like coding "images" of digital elevation maps, require extracting regions of compressed images in which the pixel values are within...