178 search results - page 2 / 36 » LSMR: An iterative algorithm for sparse least-squares proble... |
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
Many machine learning algorithms can be formulated as a generalized eigenvalue problem. One major limitation of such formulation is that the generalized eigenvalue problem is comp...
TSP
2010
12 years 12 months ago
2010
We present the Recursive Least Squares Dictionary Learning Algorithm, RLSDLA, which can be used for learning overcomplete dictionaries for sparse signal representation. Most Dicti...
SCIA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Solutions to non-linear least squares problems play an essential role in structure and motion problems in computer vision. The predominant approach for solving these prob...
PKDD
2009
Springer
13 years 11 months ago
2009
Springer
The goal of approximate policy evaluation is to “best” represent a target value function according to a specific criterion. Temporal difference methods and Bellman residual m...