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» Using Anonymized Data for Classification
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ICTAI
2010
IEEE
15 years 1 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
14 years 10 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 3 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 6 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 3 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