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» Computing LTS Regression for Large Data Sets
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AAAI
2010
13 years 10 months ago
Interactive Learning Using Manifold Geometry
We present an interactive learning method that enables a user to iteratively refine a regression model. The user examines the output of the model, visualized as the vertical axis ...
Eric Eaton, Gary Holness, Daniel McFarlane
IJHPCN
2006
109views more  IJHPCN 2006»
13 years 9 months ago
Communication issues within high performance computing grids
: This paper presents several ideas pertaining to desirable properties associated with protocols for moving large amounts of data over a grid of high performance computers. The pro...
Robert D. McLeod, Sajid Hussain, Sheng Huang, Mare...
JMLR
2002
137views more  JMLR 2002»
13 years 8 months ago
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
Masashi Sugiyama, Klaus-Robert Müller
DASFAA
2010
IEEE
224views Database» more  DASFAA 2010»
14 years 2 months ago
Dynamic Skyline Queries in Large Graphs
Given a set of query points, a dynamic skyline query reports all data points that are not dominated by other data points according to the distances between data points and query po...
Lei Zou, Lei Chen 0002, M. Tamer Özsu, Dongya...
KDD
2008
ACM
116views Data Mining» more  KDD 2008»
14 years 9 months ago
Volatile correlation computation: a checkpoint view
Recent years have witnessed increased interest in computing strongly correlated pairs in very large databases. Most previous studies have been focused on static data sets. However...
Wenjun Zhou, Hui Xiong