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BMCBI
2007
144views more  BMCBI 2007»
13 years 7 months ago
Robust regression for periodicity detection in non-uniformly sampled time-course gene expression data
Background: In practice many biological time series measurements, including gene microarrays, are conducted at time points that seem to be interesting in the biologist's opin...
Miika Ahdesmäki, Harri Lähdesmäki, ...
ICCAD
2006
IEEE
152views Hardware» more  ICCAD 2006»
14 years 4 months ago
Performance-oriented statistical parameter reduction of parameterized systems via reduced rank regression
Process variations in modern VLSI technologies are growing in both magnitude and dimensionality. To assess performance variability, complex simulation and performance models param...
Zhuo Feng, Peng Li
JMLR
2012
11 years 10 months ago
Marginal Regression For Multitask Learning
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
Mladen Kolar, Han Liu
ICML
2010
IEEE
13 years 8 months ago
Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity
We consider the problem of learning a sparse multi-task regression, where the structure in the outputs can be represented as a tree with leaf nodes as outputs and internal nodes a...
Seyoung Kim, Eric P. Xing
TSP
2010
13 years 2 months ago
Estimating multiple frequency-hopping signal parameters via sparse linear regression
Abstract--Frequency hopping (FH) signals have well-documented merits for commercial and military applications due to their near-far resistance and robustness to jamming. Estimating...
Daniele Angelosante, Georgios B. Giannakis, Nichol...