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» Using Anonymized Data for Classification
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ICTAI
2010
IEEE
15 years 4 months ago
Obtaining Bipartitions from Score Vectors for Multi-Label Classification
Multi-label classification is a popular learning task. However, some of the algorithms that learn from multi-label data, can only output a score for each label, so they cannot be r...
Marios Ioannou, George Sakkas, Grigorios Tsoumakas...
SIGIR
2010
ACM
15 years 1 months ago
The ECIR 2010 large scale hierarchical classification workshop
This paper reports on the Large Scale Hierarchical Classification workshop (http:// kmi.open.ac.uk/events/ecir2010/workshops-tutorials), held in conjunction with the European Conf...
A. Kosmopoulos, Éric Gaussier, Georgios Pal...
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
16 years 7 months ago
Effective label acquisition for collective classification
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
Mustafa Bilgic, Lise Getoor
NAR
2011
233views Computer Vision» more  NAR 2011»
14 years 9 months ago
TIARA: a database for accurate analysis of multiple personal genomes based on cross-technology
High-throughput genomic technologies have been used to explore personal human genomes for the past few years. Although the integration of technologies is important for high-accura...
Dongwan Hong, Sung-Soo Park, Young Seok Ju, Sheehy...
ATAL
2010
Springer
15 years 6 months ago
Inter-robot transfer learning for perceptual classification
We introduce the novel problem of inter-robot transfer learning for perceptual classification of objects, where multiple heterogeneous robots communicate and transfer learned obje...
Zsolt Kira