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» Active learning via transductive experimental design
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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
15 years 10 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
SIGIR
2012
ACM
13 years 7 days ago
Inferring missing relevance judgments from crowd workers via probabilistic matrix factorization
In crowdsourced relevance judging, each crowd worker typically judges only a small number of examples, yielding a sparse and imbalanced set of judgments in which relatively few wo...
Hyun Joon Jung, Matthew Lease
INFOCOM
2006
IEEE
15 years 3 months ago
Learn on the Fly: Data-Driven Link Estimation and Routing in Sensor Network Backbones
— In the context of IEEE 802.11b network testbeds, we examine the differences between unicast and broadcast link properties, and we show the inherent difficulties in precisely e...
Hongwei Zhang, Anish Arora, Prasun Sinha
TNN
2008
93views more  TNN 2008»
14 years 9 months ago
Towards the Optimal Design of Numerical Experiments
This paper addresses the problem of the optimal design of numerical experiments for the construction of nonlinear surrogate models. We describe a new method, called learner disagre...
S. Gazut, J.-M. Martinez, Gérard Dreyfus, Y...
ECMDAFA
2007
Springer
122views Hardware» more  ECMDAFA 2007»
15 years 4 months ago
Model Transformation from OWL-S to BPEL Via SiTra
Although there are a large number of academic and industrial model transformation frameworks available, allowing specification, implementation, maintenance and documentation of mod...
Behzad Bordbar, Gareth Howells, Michael Evans, Ath...