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» Evaluating algorithms that learn from data streams
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229
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MM
2009
ACM
269views Multimedia» more  MM 2009»
16 years 2 months ago
Semi-supervised topic modeling for image annotation
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hu...
ICML
2008
IEEE
16 years 8 months ago
Bolasso: model consistent Lasso estimation through the bootstrap
We consider the least-square linear regression problem with regularization by the 1-norm, a problem usually referred to as the Lasso. In this paper, we present a detailed asymptot...
Francis R. Bach
ICS
2007
Tsinghua U.
16 years 1 months ago
GridRod: a dynamic runtime scheduler for grid workflows
Grid Workflows are emerging as practical programming models for solving large e-scientific problems on the Grid. However, it is typically assumed that the workflow components eith...
Shahaan Ayyub, David Abramson
SIGMOD
2006
ACM
122views Database» more  SIGMOD 2006»
16 years 7 months ago
MonetDB/XQuery: a fast XQuery processor powered by a relational engine
Relational XQuery systems try to re-use mature relational data management infrastructures to create fast and scalable XML database technology. This paper describes the main featur...
Peter A. Boncz, Torsten Grust, Maurice van Keulen,...
193
Voted
ICDM
2005
IEEE
150views Data Mining» more  ICDM 2005»
16 years 1 months ago
Combining Multiple Clusterings by Soft Correspondence
Combining multiple clusterings arises in various important data mining scenarios. However, finding a consensus clustering from multiple clusterings is a challenging task because ...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu