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» VIF Regression: A Fast Regression Algorithm for Large Data
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BMCBI
2008
171views more  BMCBI 2008»
13 years 7 months ago
A general approach to simultaneous model fitting and variable elimination in response models for biological data with many more
Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...
Harri T. Kiiveri
UAI
2000
13 years 9 months ago
The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional Data
This paper is about the use of metric data structures in high-dimensionalor non-Euclidean space to permit cached sufficientstatisticsaccelerationsof learning algorithms. It has re...
Andrew W. Moore
ICRA
2008
IEEE
169views Robotics» more  ICRA 2008»
14 years 2 months ago
Sparse incremental learning for interactive robot control policy estimation
— We are interested in transferring control policies for arbitrary tasks from a human to a robot. Using interactive demonstration via teloperation as our transfer scenario, we ca...
Daniel H. Grollman, Odest Chadwicke Jenkins
ICML
2001
IEEE
14 years 8 months ago
Some Theoretical Aspects of Boosting in the Presence of Noisy Data
This is a survey of some theoretical results on boosting obtained from an analogous treatment of some regression and classi cation boosting algorithms. Some related papers include...
Wenxin Jiang
SASO
2010
IEEE
13 years 5 months ago
Extracting Overlay Invariants of Distributed Systems for Autonomic System Management
Many large-scale distributed systems have been built with great complexity to run Internet services. Due to the heterogeneity and dynamics of complex systems, it is very difficult ...
Hanhuai Shan, Guofei Jiang, Kenji Yoshihira