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DEXA
2008
Springer
120views Database» more  DEXA 2008»
15 years 7 months ago
Compressing Very Large Database Workloads for Continuous Online Index Selection
The paper presents a novel method for compressing large database workloads for purpose of autonomic, continuous index selection. The compressed workload contains a small subset of ...
Piotr Kolaczkowski
JMLR
2011
137views more  JMLR 2011»
15 years 29 days ago
Online Learning in Case of Unbounded Losses Using Follow the Perturbed Leader Algorithm
In this paper the sequential prediction problem with expert advice is considered for the case where losses of experts suffered at each step cannot be bounded in advance. We presen...
Vladimir V. V'yugin
ICIP
2009
IEEE
16 years 7 months ago
An Efficient Bayesian Framework For On-line Action Recognition
On-line action recognition from a continuous stream of actions is still an open problem with fewer solutions proposed compared to time-segmented action recognition. The most chall...
HICSS
1999
IEEE
95views Biometrics» more  HICSS 1999»
15 years 10 months ago
Electronic Trading in On-line Delivered Content
Electronically traded On-line Delivered Content (ODC) is data, information, and knowledge traded on the Internet or through other on-line means. ODC includes on-line newspapers, m...
Claudia Löbbecke
AAAI
2004
15 years 7 months ago
Regrets Only! Online Stochastic Optimization under Time Constraints
This paper considers online stochastic optimization problems where time constraints severely limit the number of offline optimizations which can be performed at decision time and/...
Russell Bent, Pascal Van Hentenryck