CMU SCS I2.2 Large Scale Information Network Processing INARC 1 Overview Goal: scalable algorithms to find patterns and anomalies on graphs 1. Mining Large.
Particle Competition and Cooperation to Prevent Error Propagation from Mislabeled Data in Semi- Supervised Learning Fabricio Breve 1,2 [email protected].
Combined Active and Semi-Supervised Learning using Particle Walking Temporal Dynamics Fabricio [email protected] Department of Statistics, Applied.
Semi-Supervised Learning from Imperfect Data through Particle Cooperation and Competition
Information Retrieval (12)
Fabricio Breve 1,2 [email protected] Liang Zhao 2 [email protected]
Query Rules Study on Active Semi-Supervised Learning using Particle Competition and Cooperation
