382 search results - page 6 / 77 » Operational performances of a MUSIC algorithm robust to outl... |
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Many of the recently proposed algorithms for learning feature-based ranking functions are based on the pairwise preference framework, in which instead of taking documents in isola...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
INFORMATICALT
2010
13 years 6 months ago
2010
In the previous papers (Pupeikis, 2000; Genov et al., 2006; Atanasov and Pupeikis, 2009), a direct approach for estimating the parameters of a discrete-time linear time-invariant (...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...