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» On Issues of Instance Selection
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SODA
2004
ACM
131views Algorithms» more  SODA 2004»
13 years 11 months ago
When indexing equals compression: experiments with compressing suffix arrays and applications
We report on a new experimental analysis of high-order entropy-compressed suffix arrays, which retains the theoretical performance of previous work and represents an improvement in...
Roberto Grossi, Ankur Gupta, Jeffrey Scott Vitter
JMLR
2008
104views more  JMLR 2008»
13 years 10 months ago
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
In this paper, the naive credal classifier, which is a set-valued counterpart of naive Bayes, is extended to a general and flexible treatment of incomplete data, yielding a new cl...
Giorgio Corani, Marco Zaffalon
CORR
2012
Springer
192views Education» more  CORR 2012»
12 years 5 months ago
The best of both worlds: stochastic and adversarial bandits
We present a bandit algorithm, SAO (Stochastic and Adversarial Optimal), whose regret is, essentially, optimal both for adversarial rewards and for stochastic rewards. Specifical...
Sébastien Bubeck, Aleksandrs Slivkins
IV
2008
IEEE
91views Visualization» more  IV 2008»
14 years 4 months ago
Candidate Mapping: Finding Your Place Amongst the Candidates
The process ofvoting for a candidate involves selecting an individual who best matches a personal system of values and beliefs. Typically, voters must select a candidate whom they...
Justin Donaldson, William R. Hazlewood
ICCS
2007
Springer
14 years 4 months ago
Active Learning with Support Vector Machines for Tornado Prediction
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...