146 citations · 254 across the 22 of their papers we have counts for
Showing 2012 · cs.LGShow all
3 papers · 2 filters
cs.LG2012★ 2 cited
More Is Better: Large Scale Partially-supervised Sentiment Classification - Appendix
Yoav Haimovitch, Koby Crammer, Shie Mannor
We describe a bootstrapping algorithm to learn from partially labeled data, and the results of an empirical study for using it to improve performance of sentiment classification us…
cs.LG2012
Discriminative Learning via Semidefinite Probabilistic Models
Koby Crammer, Amir Globerson
Discriminative linear models are a popular tool in machine learning. These can be generally divided into two types: The first is linear classifiers, such as support vector machines…
cs.LG2012★ 9 cited
Adaptive Regularization for Weight Matrices
Koby Crammer, Gal Chechik
Algorithms for learning distributions over weight-vectors, such as AROW were recently shown empirically to achieve state-of-the-art performance at various problems, with strong the…