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» Techniques for Optimization of Net Algorithms
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GECCO
2007
Springer
308views Optimization» more  GECCO 2007»
15 years 4 months ago
Multiobjective clustering with automatic k-determination for large-scale data
Web mining - data mining for web data - is a key factor of web technologies. Especially, web behavior mining has attracted a great deal of attention recently. Behavior mining invo...
Nobukazu Matake, Tomoyuki Hiroyasu, Mitsunori Miki...
SIGIR
2006
ACM
15 years 3 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
IDEAS
2002
IEEE
113views Database» more  IDEAS 2002»
15 years 2 months ago
Scalable QoS-Aware Disk-Scheduling
A new quality of service (QoS) aware disk scheduling algorithm is presented. It is applicable in environments where data requests arrive with different QoS requirements such as re...
Walid G. Aref, Khaled El-Bassyouni, Ibrahim Kamel,...
SIGMETRICS
2008
ACM
128views Hardware» more  SIGMETRICS 2008»
14 years 10 months ago
Loss-aware network coding for unicast wireless sessions: design, implementation, and performance evaluation
Local network coding is growing in prominence as a technique to facilitate greater capacity utilization in multi-hop wireless networks. A specific objective of such local network ...
Shravan K. Rayanchu, Sayandeep Sen, Jianming Wu, S...
SIGIR
2011
ACM
14 years 23 days ago
Faster top-k document retrieval using block-max indexes
Large search engines process thousands of queries per second over billions of documents, making query processing a major performance bottleneck. An important class of optimization...
Shuai Ding, Torsten Suel