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COLT
2005
Springer
14 years 7 days ago
A New Perspective on an Old Perceptron Algorithm
Abstract. We present a generalization of the Perceptron algorithm. The new algorithm performs a Perceptron-style update whenever the margin of an example is smaller than a predefi...
Shai Shalev-Shwartz, Yoram Singer
COLT
2005
Springer
14 years 7 days ago
Trading in Markovian Price Models
We examine a Markovian model for the price evolution of a stock, in which the probability of local upward or downward movement is arbitrarily dependent on the current price itself...
Sham M. Kakade, Michael J. Kearns
COLT
2005
Springer
13 years 8 months ago
Loss Bounds for Online Category Ranking
Category ranking is the task of ordering labels with respect to their relevance to an input instance. In this paper we describe and analyze several algorithms for online category r...
Koby Crammer, Yoram Singer
COLT
2005
Springer
14 years 7 days ago
The Value of Agreement, a New Boosting Algorithm
We present a new generalization bound where the use of unlabeled examples results in a better ratio between training-set size and the resulting classifier’s quality and thus red...
Boaz Leskes
COLT
2005
Springer
14 years 7 days ago
Analysis of Perceptron-Based Active Learning
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...
Sanjoy Dasgupta, Adam Tauman Kalai, Claire Montele...