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» Restart Strategy Selection Using Machine Learning Techniques
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PODC
2009
ACM
14 years 9 months ago
Load balancing without regret in the bulletin board model
We analyze the performance of protocols for load balancing in distributed systems based on no-regret algorithms from online learning theory. These protocols treat load balancing a...
Éva Tardos, Georgios Piliouras, Robert D. K...
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
14 years 2 months ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson
IAAI
2003
13 years 10 months ago
Searching for Hidden Messages: Automatic Detection of Steganography
Steganography is the field of hiding messages in apparently innocuous media (e.g. images), and steganalysis is the field of detecting these covert messages. Almost all steganalysi...
George Berg, Ian Davidson, Ming-Yuan Duan, Goutam ...
PVLDB
2010
175views more  PVLDB 2010»
13 years 7 months ago
Dynamic Join Optimization in Multi-Hop Wireless Sensor Networks
To enable smart environments and self-tuning data centers, we are developing the Aspen system for integrating physical sensor data, as well as stream data coming from machine logi...
Svilen R. Mihaylov, Marie Jacob, Zachary G. Ives, ...
CIKM
2009
Springer
14 years 3 months ago
Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS
Background: Finding relevant articles from PubMed is challenging because it is hard to express the user’s specific intention in the given query interface, and a keyword query ty...
Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungc...