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CORR
2012
Springer
208views Education» more  CORR 2012»
14 years 3 months ago
Ensembles of Kernel Predictors
This paper examines the problem of learning with a finite and possibly large set of p base kernels. It presents a theoretical and empirical analysis of an approach addressing thi...
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
CORR
2012
Springer
210views Education» more  CORR 2012»
14 years 3 months ago
Towards minimax policies for online linear optimization with bandit feedback
We address the online linear optimization problem with bandit feedback. Our contribution is twofold. First, we provide an algorithm (based on exponential weights) with a regret of...
Sébastien Bubeck, Nicolò Cesa-Bianch...
JMLR
2012
13 years 10 months ago
On Bisubmodular Maximization
Bisubmodularity extends the concept of submodularity to set functions with two arguments. We show how bisubmodular maximization leads to richer value-of-information problems, usin...
Ajit Singh, Andrew Guillory, Jeff Bilmes
SSD
2005
Springer
122views Database» more  SSD 2005»
16 years 29 days ago
Selectivity Estimation of High Dimensional Window Queries via Clustering
Abstract. Query optimization is an important functionality of modern database systems and often based on estimating the selectivity of queries before actually executing them. Well-...
Christian Böhm, Hans-Peter Kriegel, Peer Kr&o...
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
16 years 13 days ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong