Online Bayes Point Ma hines

By Edward F. Harrington, Ralf Herbrich, Jyrki Kivinen, John C. Platt, Robert C. Williamson. 2011

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Mark Dredze
2. Chris Quirk
3. Simon Corston-Oliver
4. Fernando C Pereira
5. Yoshua Bengio
6. Noah A. Smith
7. Sebastian Ruder
8. Mohit Bansal

Citations in the corpus

• Optimal Distributed Online Prediction Using Mini-Batches (2010, neutral): “A similar approach was also considered by Nesterov and Vial (2008) and an experimental study of such a method was reported in Harrington et al. (2003).”
• Confidence-Weighted Linear Classification (background): “Its online version (Harrington et al., 2003) maintains a finite number of weight-vectors updated simultaneously.”
• The impact of parse quality on syntactically-informed statistical machine translation (2006, methodology): “The averaged perceptrons are then combined to form a Bayes Point Machine (Her-brich et al., 2001; Harrington et al., 2003), resulting in a linear classifier that is competitive with wide margin techniques.”