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KDD
2012
ACM
190views Data Mining» more  KDD 2012»
12 years 1 months ago
Multi-label hypothesis reuse
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
Sheng-Jun Huang, Yang Yu, Zhi-Hua Zhou
KDD
2012
ACM
197views Data Mining» more  KDD 2012»
12 years 1 months ago
On the separability of structural classes of communities
Three major factors govern the intricacies of community extraction in networks: (1) the application domain includes a wide variety of networks of fundamentally different natures,...
Bruno D. Abrahao, Sucheta Soundarajan, John E. Hop...
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
12 years 1 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
PODC
2012
ACM
12 years 1 months ago
Byzantine broadcast in point-to-point networks using local linear coding
The goal of Byzantine Broadcast (BB) is to allow a set of fault-free nodes to agree on information that a source node wants to broadcast to them, in the presence of Byzantine faul...
Guanfeng Liang, Nitin H. Vaidya
PODC
2012
ACM
12 years 1 months ago
On the (limited) power of non-equivocation
In recent years, there have been a few proposals to add a small amount of trusted hardware at each replica in a Byzantine fault tolerant system to cut back replication factors. Th...
Allen Clement, Flavio Junqueira, Aniket Kate, Rodr...