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» Algorithmic Complexity Bounds on Future Prediction Errors
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105
Voted
KDD
2005
ACM
178views Data Mining» more  KDD 2005»
15 years 5 months ago
Failure detection and localization in component based systems by online tracking
The increasing complexity of today’s systems makes fast and accurate failure detection essential for their use in mission-critical applications. Various monitoring methods provi...
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Ke...
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
16 years 6 days ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
VLDB
2007
ACM
130views Database» more  VLDB 2007»
15 years 12 months ago
A Simple and Efficient Estimation Method for Stream Expression Cardinalities
Estimating the cardinality (i.e. number of distinct elements) of an arbitrary set expression defined over multiple distributed streams is one of the most fundamental queries of in...
Aiyou Chen, Jin Cao, Tian Bu
95
Voted
ITCC
2005
IEEE
15 years 5 months ago
Design Theoretic Approach to Replicated Declustering
Declustering techniques reduce query response times through parallel I/O by distributing data among multiple devices. Most of the research on declustering is targeted at spatial r...
Ali Saman Tosun
74
Voted
COCO
1998
Springer
98views Algorithms» more  COCO 1998»
15 years 3 months ago
Probabilistic Martingales and BPTIME Classes
We define probabilistic martingales based on randomized approximation schemes, and show that the resulting notion of probabilistic measure has several desirable robustness propert...
Kenneth W. Regan, D. Sivakumar