468 search results - page 21 / 94 » A Machine Learning Approach to TCP Throughput Prediction |
ECML
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. We introduce a nonparametric model for sensitivity estimation which relies on generating points similar to the prediction point using its k nearest neighbors. Unlike most...
BMCBI
2007
13 years 8 months ago
2007
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
ALT
2010
Springer
13 years 10 months ago
2010
Springer
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
VLSISP
2011
13 years 3 months ago
2011
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...