4 citations · 7 across the 4 of their papers we have counts for
4 papers
Focus of Attention for Linear Predictors
Raphael Pelossof, Zhiliang Ying
We present a method to stop the evaluation of a prediction process when the result of the full evaluation is obvious. This trait is highly desirable in prediction tasks where a pre…
Rapid Learning with Stochastic Focus of Attention
Raphael Pelossof, Zhiliang Ying
We present a method to stop the evaluation of a decision making process when the result of the full evaluation is obvious. This trait is highly desirable for online margin-based ma…
The Attentive Perceptron
Raphael Pelossof, Zhiliang Ying
We propose a focus of attention mechanism to speed up the Perceptron algorithm. Focus of attention speeds up the Perceptron algorithm by lowering the number of features evaluated t…
Online Coordinate Boosting
Raphael Pelossof, Michael Jones, Ilia Vovsha +1
We present a new online boosting algorithm for adapting the weights of a boosted classifier, which yields a closer approximation to Freund and Schapire's AdaBoost algorithm than pr…