Slide 1CMU SCS I2.2 Large Scale Information Network Processing INARC 1 Overview Goal: scalable algorithms to find patterns and anomalies on graphs 1. Mining Large Graphs:…

Slide 1 Particle Competition and Cooperation to Prevent Error Propagation from Mislabeled Data in Semi-Supervised Learning Fabricio Breve1,2 [email protected] Liang Zhao2…

Slide 1 Combined Active and Semi-Supervised Learning using Particle Walking Temporal Dynamics Fabricio Breve [email protected] Department of Statistics, Applied Mathematics…

Slide 1 Semi-Supervised Learning from Imperfect Data through Particle Cooperation and Competition Fabricio A. Breve¹ [email protected] Liang Zhao¹ [email protected] Marcos…

Slide 1 Particle Competition and Cooperation to Prevent Error Propagation from Mislabeled Data in Semi-Supervised Learning Fabricio Breve1,2 [email protected] Liang Zhao2…

Slide 1 Query Rules Study on Active Semi-Supervised Learning using Particle Competition and Cooperation Fabricio Breve [email protected] Department of Statistics, Applied…

Information Retrieval (12) Prof. Dragomir R. Radev [email protected] IR Winter 2010 … 20. Discovering communities Spectral clustering … Spectral algorithms The spectrum…