435 search results - page 62 / 87 » Methods to Learn Abstract Scheduling Models |
MLDM
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Regression models are often required for controlling production processes by predicting parameter values. However, the implicit assumption of standard regression techniqu...
SECON
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract--Wireless interference is the major cause of degradation of capacity in 802.11 wireless networks. We present an approach to estimate the interference between nodes and lin...
CEC
2007
IEEE
14 years 20 days ago
2007
IEEE
Abstract-- Hypernetworks consist of a large number of hyperedges that represent higher-order features sampled from training patterns. Evolutionary algorithms have been used as a me...
ECCV
2006
Springer
14 years 10 months ago
2006
Springer
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
ECML
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...