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» Evaluating algorithms that learn from data streams
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SIGMOD
2005
ACM
135views Database» more  SIGMOD 2005»
16 years 19 days ago
Mining data streams: a review
The recent advances in hardware and software have enabled the capture of different measurements of data in a wide range of fields. These measurements are generated continuously an...
Mohamed Medhat Gaber, Arkady B. Zaslavsky, Shonali...
109
Voted
TCSV
2010
14 years 7 months ago
Cooperative Peer-to-Peer Streaming: An Evolutionary Game-Theoretic Approach
While peer-to-peer (P2P) video streaming systems have achieved promising results, they introduce a large number of unnecessary traverse links, which consequently leads to substanti...
Yan Chen, Beibei Wang, W. Sabrina Lin, Yongle Wu, ...
119
Voted
MM
2004
ACM
147views Multimedia» more  MM 2004»
15 years 6 months ago
Implementation and evaluation of EXT3NS multimedia file system
The EXT3NS is a scalable file system designed to handle video streaming workload in large-scale on-demand streaming services. It is based on a special H/W device, called Network-S...
Baik-Song Ahn, Sung-Hoon Sohn, Chei-Yol Kim, Gyu-I...
NIPS
2007
15 years 1 months ago
The Tradeoffs of Large Scale Learning
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Léon Bottou, Olivier Bousquet
CIKM
2008
Springer
15 years 2 months ago
Evaluating partial tree-pattern queries on XML streams
The streaming evaluation is a popular way of evaluating queries on XML documents. Besides its many advantages, it is also the only option for a number of important XML application...
Xiaoying Wu, Dimitri Theodoratos