468 search results - page 60 / 94 » A Machine Learning Approach to TCP Throughput Prediction |
69
Voted
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Discovering additive structure is an important step towards understanding a complex multi-dimensional function because it allows the function to be expressed as the sum of lower-d...
93
Voted
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Nearest neighbor forecasting models are attractive with their simplicity and the ability to predict complex nonlinear behavior. They rely on the assumption that observations simila...
77
Voted
EMNLP
2006
14 years 11 months ago
2006
This paper presents a method of automatically constructing information extraction patterns on predicate-argument structures (PASs) obtained by full parsing from a smaller training...
LWA
2004
14 years 11 months ago
2004
Support Vector Machines (SVMs) have become a popular learning algorithm, in particular for large, high-dimensional classification problems. SVMs have been shown to give most accur...