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» A Machine Learning Approach to TCP Throughput Prediction
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SIGKDD
2010
151views more  SIGKDD 2010»
13 years 2 months ago
Limitations of matrix completion via trace norm minimization
In recent years, compressive sensing attracts intensive attentions in the field of statistics, automatic control, data mining and machine learning. It assumes the sparsity of the ...
Xiaoxiao Shi, Philip S. Yu
SIGIR
2010
ACM
13 years 11 months ago
Self-taught hashing for fast similarity search
The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is sem...
Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu
PODC
2009
ACM
14 years 8 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...
CGF
2010
161views more  CGF 2010»
13 years 7 months ago
HyperMoVal: Interactive Visual Validation of Regression Models for Real-Time Simulation
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
Harald Piringer, Wolfgang Berger, J. Krasser
BMCBI
2007
165views more  BMCBI 2007»
13 years 7 months ago
Ab initio identification of human microRNAs based on structure motifs
Background: MicroRNAs (miRNAs) are short, non-coding RNA molecules that are directly involved in post-transcriptional regulation of gene expression. The mature miRNA sequence bind...
Markus Brameier, Carsten Wiuf