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PAKDD
2011
ACM
245views Data Mining» more  PAKDD 2011»
12 years 11 months ago
Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy M. Hospedales, Shaogang Gong, Tao Xiang
ICDM
2009
IEEE
259views Data Mining» more  ICDM 2009»
13 years 6 months ago
Topic Modeling for Sequences of Temporal Activities
: Topic Modeling for Sequences of Temporal Activities Zhi-Yong Shen, Ping Luo, Yuhong Xiong, Jun Sun, Yi-Dong Shen HP Laboratories HPL-2010-160 topic modeling, LDA, sequence, temp...
Zhiyong Shen, Ping Luo, Yuhong Xiong, Jun Sun, Yi-...
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
11 years 11 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
HPCN
1999
Springer
14 years 22 days ago
The Digital Puglia Project: An Active Digital Library of Remote Sensing Data
The growing need of software infrastructure able to create, maintain and ease the evolution of scientific data, promotes the development of digital libraries in order to provide th...
Giovanni Aloisio, Massimo Cafaro, Roy Williams
PKDD
2005
Springer
161views Data Mining» more  PKDD 2005»
14 years 1 months ago
Active Sampling for Knowledge Discovery from Biomedical Data
Abstract. We describe work aimed at cost-constrained knowledge discovery in the biomedical domain. To improve the diagnostic/prognostic models of cancer, new biomarkers are studied...
Sriharsha Veeramachaneni, Francesca Demichelis, Em...