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KDD
2008
ACM
195views Data Mining» more  KDD 2008»
14 years 9 months ago
Learning from multi-topic web documents for contextual advertisement
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
Yi Zhang, Arun C. Surendran, John C. Platt, Mukund...
IMC
2009
ACM
14 years 3 months ago
Moving beyond end-to-end path information to optimize CDN performance
Replicating content across a geographically distributed set of servers and redirecting clients to the closest server in terms of latency has emerged as a common paradigm for impro...
Rupa Krishnan, Harsha V. Madhyastha, Sridhar Srini...
IJCAI
2007
13 years 10 months ago
Document Summarization Using Conditional Random Fields
Many methods, including supervised and unsupervised algorithms, have been developed for extractive document summarization. Most supervised methods consider the summarization task ...
Dou Shen, Jian-Tao Sun, Hua Li, Qiang Yang, Zheng ...
COMCOM
2004
90views more  COMCOM 2004»
13 years 8 months ago
Understanding bandwidth-delay product in mobile ad hoc networks
Bandwidth-delay product (BDP) and its upper bound (BDP-UB) have been well-understood in wireline networks such as the Internet. However, they have not been carefully studied in th...
Kai Chen, Yuan Xue, Samarth H. Shah, Klara Nahrste...
JAIR
2002
163views more  JAIR 2002»
13 years 8 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu