Sciweavers

413 search results - page 27 / 83
» Teaching Regression with Simulation
Sort
View
ICASSP
2010
IEEE
13 years 8 months ago
Multiple frequency-hopping signal estimation via sparse regression
Frequency hopping (FH) signals have well-documented merits for commercial and military applications due to their near-far resistance and robustness to jamming. Estimating FH signa...
Daniele Angelosante, Georgios B. Giannakis, Nichol...
ICSM
2007
IEEE
14 years 2 months ago
Applying Interface-Contract Mutation in Regression Testing of Component-Based Software
Regression testing, which plays an important role in software maintenance, usually relies on test adequacy criteria to select and prioritize test cases. However, with the wide use...
Shan-Shan Hou, Lu Zhang, Tao Xie, Hong Mei, Jiasu ...
NCI
2004
141views Neural Networks» more  NCI 2004»
13 years 9 months ago
Estimating the error at given test input points for linear regression
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
Masashi Sugiyama
ICASSP
2011
IEEE
12 years 11 months ago
Robust nonparametric regression by controlling sparsity
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
Gonzalo Mateos, Georgios B. Giannakis
ICASSP
2011
IEEE
12 years 11 months ago
Weighted and structured sparse total least-squares for perturbed compressive sampling
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
Hao Zhu, Georgios B. Giannakis, Geert Leus