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» Perceptual Learning and Abstraction in Machine Learning
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ALT
2009
Springer
15 years 6 months ago
Pure Exploration in Multi-armed Bandits Problems
Abstract. We consider the framework of stochastic multi-armed bandit problems and study the possibilities and limitations of strategies that explore sequentially the arms. The stra...
Sébastien Bubeck, Rémi Munos, Gilles...
ALT
2008
Springer
15 years 6 months ago
Exploiting Cluster-Structure to Predict the Labeling of a Graph
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...
Mark Herbster
ALT
2006
Springer
15 years 6 months ago
Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice
Abstract. We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thres...
Hsuan-Tien Lin, Ling Li
ALT
2005
Springer
15 years 6 months ago
Mixture of Vector Experts
Abstract. We describe and analyze an algorithm for predicting a sequence of n-dimensional binary vectors based on a set of experts making vector predictions in [0, 1]n . We measure...
Matthew Henderson, John Shawe-Taylor, Janez Zerovn...
COLT
2007
Springer
15 years 3 months ago
Strategies for Prediction Under Imperfect Monitoring
Abstract. We propose simple randomized strategies for sequential prediction under imperfect monitoring, that is, when the forecaster does not have access to the past outcomes but r...
Gábor Lugosi, Shie Mannor, Gilles Stoltz