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» A Machine Learning Approach to TCP Throughput Prediction
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IPMI
2007
Springer
14 years 9 months ago
Shape Regression Machine
Abstract. We present a machine learning approach called shape regression machine (SRM) to segmenting in real time an anatomic structure that manifests a deformable shape in a medic...
Shaohua Kevin Zhou, Dorin Comaniciu
CF
2007
ACM
14 years 20 days ago
Fast compiler optimisation evaluation using code-feature based performance prediction
Performance tuning is an important and time consuming task which may have to be repeated for each new application and platform. Although iterative optimisation can automate this p...
Christophe Dubach, John Cavazos, Björn Franke...
OSDI
1994
ACM
13 years 10 months ago
Performance Issues in Parallelized Network Protocols
Parallel processing has been proposed as a means of improving network protocol throughput. Several different strategies have been taken towards parallelizing protocols. A relative...
Erich M. Nahum, David J. Yates, James F. Kurose, D...
CORR
1998
Springer
153views Education» more  CORR 1998»
13 years 8 months ago
Identifying Discourse Markers in Spoken Dialog
In this paper, we present a method for identifying discourse marker usage in spontaneous speech based on machine learning. Discourse markers are denoted by special POS tags, and t...
Peter A. Heeman, Donna K. Byron, James F. Allen
ICML
2004
IEEE
14 years 9 months ago
Online and batch learning of pseudo-metrics
We describe and analyze an online algorithm for supervised learning of pseudo-metrics. The algorithm receives pairs of instances and predicts their similarity according to a pseud...
Shai Shalev-Shwartz, Yoram Singer, Andrew Y. Ng