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COLT
2008
Springer
15 years 8 months ago
Competing in the Dark: An Efficient Algorithm for Bandit Linear Optimization
We introduce an efficient algorithm for the problem of online linear optimization in the bandit setting which achieves the optimal O ( T) regret. The setting is a natural general...
Jacob Abernethy, Elad Hazan, Alexander Rakhlin
ECTEL
2008
Springer
15 years 8 months ago
Measuring Learning Object Reuse
This paper presents a quantitative analysis of the reuse of learning objects in real world settings. The data for this analysis was obtained from three sources: Connexions' mo...
Xavier Ochoa, Erik Duval
EMNLP
2004
15 years 8 months ago
Automatic Paragraph Identification: A Study across Languages and Domains
In this paper we investigate whether paragraphs can be identified automatically in different languages and domains. We propose a machine learning approach which exploits textual a...
Caroline Sporleder, Mirella Lapata
ICML
2010
IEEE
15 years 7 months ago
Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis
We introduce new, efficient algorithms for value iteration with multiple reward functions and continuous state. We also give an algorithm for finding the set of all nondominated a...
Daniel J. Lizotte, Michael H. Bowling, Susan A. Mu...
ML
2006
ACM
15 years 6 months ago
A Unified View on Clustering Binary Data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li