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  1. Courses
  2. 2015 SIAM International Con...
  3. Multi-source and Heterogene...

Multi-source and Heterogeneous Learning

SDM15 - CP9-1 Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information

Presentation: Yu Cheng, Northwestern University, USA, 23 min 47 sec

SDM15 - CP9-1 Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information (PDF)

Document: View PDF Handout

SDM15 - CP9-2 PLUMS: Predicting Links Using Multiple Sources

Presentation: Karthik Subbian, 18 min 24 sec

SDM15 - CP9-2 PLUMS: Predicting Links Using Multiple Sources (PDF)

Document: View PDF Handout

SDM15 - CP9-3 SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources

Presentation: Theodoros Rekatsinas, University of Maryland, USA, 22 min 33 sec

SDM15 - CP9-3 SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources (PDF)

Document: View PDF Handout

SDM15 - CP9-4 GIN: A Clustering Model for Capturing Dual Heterogeneity in Networked Data

Presentation: Jialu Liu, University of Illinois at Urbana-Champaign, USA, 18 min 32 sec

SDM15 - CP9-4 GIN: A Clustering Model for Capturing Dual Heterogeneity in Networked Data (PDF)

Document: View PDF Handout

SDM15 - CP9-5 Believe It Today Or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data

Presentation: Houping Xiao, State University of New York at Buffalo, USA, 15 min 15 sec

SDM15 - CP9-5 Believe It Today Or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data (PDF)

Document: View PDF Handout
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