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  1. Courses
  2. 2016 SIAM Annual Meeting
  3. Forecasting from Big, Noisy...

Forecasting from Big, Noisy Data: Challenges and Techniques

AN16 - MS58-1: Mathematical Challenges in Predictive Analytics

Presentation: Joseph R Zipkin, Massachusetts Institute of Technology, USA, 25 min 30 sec

AN16 - MS58-1: Mathematical Challenges in Predictive Analytics

Document: View PDF

AN16 - MS58-2: Predicting Events Using Diverse Ensemble Models

Presentation: Amy Sliva, Charles River Analytics, USA, 27 min 32 sec

AN16 - MS58-2: Predicting Events Using Diverse Ensemble Models

Document: View PDF

AN16 - MS58-3: Probabilistic Forecasting in the Presence of Noisy and Conflicting Evidence

Presentation: Alexander Memory, Leidos, Inc., USA, 24 min 59 sec

AN16 - MS58-3: Probabilistic Forecasting in the Presence of Noisy and Conflicting Evidence

Document: View PDF

AN16 - MS58-4: ROADMAP (Relational Object Analysis Drives Multimodal Attack Prediction) System Faces Big Data Challenges

Presentation: Rebecca Cathey, BAE Systems, USA, 17 min 10 sec

AN16 - MS58-4: ROADMAP (Relational Object Analysis Drives Multimodal Attack Prediction) System Faces Big Data Challenges

Document: View PDF
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