477 search results - page 2 / 96 » Missing Data Estimation Using Polynomial Kernels |
MOBIDE
2010
ACM
13 years 4 months ago
2010
ACM
A sensor's data loss or corruption, aka sensor data missing, is a common phenomenon in modern wireless sensor networks. It is more severe for multi-hop sensor network (MSN) a...
BMCBI
2007
13 years 4 months ago
2007
Background: There is a large amount of microarray data accumulating in public databases, providing various data waiting to be analyzed jointly. Powerful kernel-based methods are c...
DASFAA
2007
IEEE
13 years 11 months ago
2007
IEEE
Networks of thousands of sensors present a feasible and economic solution to some of our most challenging problems, such as real-time traffic modeling, military sensing and trackin...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
HIS
2004
13 years 6 months ago
2004
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...