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PAKDD
2004
ACM
143views Data Mining» more  PAKDD 2004»
16 years 12 days ago
Compact Dual Ensembles for Active Learning
Generic ensemble methods can achieve excellent learning performance, but are not good candidates for active learning because of their different design purposes. We investigate how...
Amit Mandvikar, Huan Liu, Hiroshi Motoda
190
Voted
ICDM
2010
IEEE
134views Data Mining» more  ICDM 2010»
15 years 5 months ago
Consequences of Variability in Classifier Performance Estimates
The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
Troy Raeder, T. Ryan Hoens, Nitesh V. Chawla
181
Voted
ISSRE
2006
IEEE
16 years 1 months ago
Metamodel-based Test Generation for Model Transformations: an Algorithm and a Tool
In a Model-Driven Development context (MDE), model transformations allow memorizing and reusing design know-how, and thus automate parts of the design and refinement steps of a so...
Erwan Brottier, Franck Fleurey, Jim Steel, Benoit ...
164
Voted
PAKDD
2004
ACM
131views Data Mining» more  PAKDD 2004»
16 years 12 days ago
A Tree-Based Approach to the Discovery of Diagnostic Biomarkers for Ovarian Cancer
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...
Jinyan Li, Kotagiri Ramamohanarao
192
Voted
KDD
2004
ACM
114views Data Mining» more  KDD 2004»
16 years 7 months ago
Scalable mining of large disk-based graph databases
Mining frequent structural patterns from graph databases is an interesting problem with broad applications. Most of the previous studies focus on pruning unfruitful search subspac...
Chen Wang, Wei Wang 0009, Jian Pei, Yongtai Zhu, B...