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PKDD
2005
Springer
161views Data Mining» more  PKDD 2005»
15 years 9 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...
HIPC
2003
Springer
15 years 9 months ago
FV-MSB: A Scheme for Reducing Transition Activity on Data Buses
Power consumption becomes an important issue for modern processors. The off-chip buses consume considerable amount of total power [9,7]. One effective way to reduce power is to red...
Dinesh C. Suresh, Jun Yang 0002, Chuanjun Zhang, B...
ICML
2010
IEEE
15 years 5 months ago
Active Learning for Networked Data
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...
Mustafa Bilgic, Lilyana Mihalkova, Lise Getoor
WWW
2010
ACM
15 years 11 months ago
Collaborative location and activity recommendations with GPS history data
With the increasing popularity of location-based services, such as tour guide and location-based social network, we now have accumulated many location data on the Web. In this pap...
Vincent Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Y...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 4 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy