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» Distributed sparse linear regression
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IAJIT
2011
14 years 7 months ago
Blocked-based sparse matrix-vector multiplication on distributed memory parallel computers
: The present paper discusses the implementations of sparse matrix-vector products, which are crucial for high performance solutions of large-scale linear equations, on a PC-Cluste...
Rukhsana Shahnaz, Anila Usman
HPCA
2006
IEEE
16 years 22 days ago
Construction and use of linear regression models for processor performance analysis
Processor architects have a challenging task of evaluating a large design space consisting of several interacting parameters and optimizations. In order to assist architects in ma...
P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthav...
109
Voted
NECO
2002
100views more  NECO 2002»
15 years 21 hour ago
Robust Regression with Asymmetric Heavy-Tail Noise Distributions
In the presence of a heavy-tail noise distribution, regression becomes much more di cult. Traditional robust regression methods assume that the noise distribution is symmetric and...
Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori
108
Voted
KDD
2004
ACM
132views Data Mining» more  KDD 2004»
16 years 23 days ago
Privacy preserving regression modelling via distributed computation
Reluctance of data owners to share their possibly confidential or proprietary data with others who own related databases is a serious impediment to conducting a mutually beneficia...
Ashish P. Sanil, Alan F. Karr, Xiaodong Lin, Jerom...
ECML
2007
Springer
15 years 6 months ago
Bayesian Inference for Sparse Generalized Linear Models
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
Matthias Seeger, Sebastian Gerwinn, Matthias Bethg...