258 citations · 269 across the 3 of their papers we have counts for
3 papers
cs.LG2012★ 1 cited
Active Learning of Custering with Side Information Using $\eps$-Smooth Relative Regret Approximations
Nir Ailon, Ron Begleiter
Clustering is considered a non-supervised learning setting, in which the goal is to partition a collection of data points into disjoint clusters. Often a bound on the number of…
cs.LG2011★ 10 cited
Active Learning Using Smooth Relative Regret Approximations with Applications
Nir Ailon, Ron Begleiter, Esther Ezra
The disagreement coefficient of Hanneke has become a central data independent invariant in proving active learning rates. It has been shown in various ways that a concept class wit…
cs.AI2011★ 258 cited
On Prediction Using Variable Order Markov Models
R. Begleiter, R. El-Yaniv, G. Yona
This paper is concerned with algorithms for prediction of discrete sequences over a finite alphabet, using variable order Markov models. The class of such algorithms is large and i…