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89
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ICML
2000
IEEE
16 years 1 months ago
Discovering Test Set Regularities in Relational Domains
Machine learning typically involves discovering regularities in a training set, then applying these learned regularities to classify objects in a test set. In this paper we presen...
Seán Slattery, Tom M. Mitchell
ML
2008
ACM
15 years 1 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
127
Voted
PDP
2010
IEEE
14 years 11 months ago
FTDS: Adjusting Virtual Computing Resources in Threshing Cases
—In the virtual execution environment, dynamic computing resource adjustment technique, configuring the computing resource of virtual machines automatically according to the actu...
Jian Huang, Hai Jin, Kan Hu, Zhiyuan Shao
121
Voted
ECCV
2002
Springer
16 years 2 months ago
Learning to Parse Pictures of People
The detection of people is one of the foremost problems for indexing, browsing and retrieval of video. The main difficulty is the large appearance variations caused by action, clot...
Rémi Ronfard, Cordelia Schmid, Bill Triggs
122
Voted
RECOMB
2005
Springer
16 years 1 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...