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» Classifier Selection Based on Data Complexity Measures
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VLDB
2002
ACM
126views Database» more  VLDB 2002»
14 years 9 months ago
Plan Selection Based on Query Clustering
Query optimization is a computationally intensive process, especially for complex queries. We present here a tool, called PLASTIC, that can be used by query optimizers to amortize...
Antara Ghosh, Jignashu Parikh, Vibhuti S. Sengar, ...
ICNC
2005
Springer
15 years 3 months ago
An Incremental Learning Method Based on SVM for Online Sketchy Shape Recognition
This paper presents briefly an incremental learning method based on SVM for online sketchy shape recognition. It can collect all classified results corrected by user and select som...
Zhengxing Sun, Lisha Zhang, Enyi Tang
TGIS
2010
86views more  TGIS 2010»
14 years 4 months ago
A Road Network Selection Process Based on Data Enrichment and Structure Detection
The presented paper deals with a generic process for road network selection based on data enrichment and structure detection. The first step is to detect significant structures and...
Guillaume Touya
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
15 years 10 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
JMLR
2002
90views more  JMLR 2002»
14 years 9 months ago
Machine Learning with Data Dependent Hypothesis Classes
We extend the VC theory of statistical learning to data dependent spaces of classifiers. This theory can be viewed as a decomposition of classifier design into two components; the...
Adam Cannon, J. Mark Ettinger, Don R. Hush, Clint ...