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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 7 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
ICMCS
2005
IEEE
80views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Dynamic Server Redirect for Multimedia Service in Distributed Peer-to-Peer Network
Peer-to-Peer (P2P) multimedia application is expected to be one of the most important services supported by the next generation networks. However, how to balance server load in re...
Ming-Ho Hsiao, Suh-Yin Lee
CORR
2010
Springer
80views Education» more  CORR 2010»
13 years 7 months ago
Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning
Knowing the largest rate at which data can be sent on an end-to-end path such that the egress rate is equal to the ingress rate with high probability can be very practical when ch...
Frederic Thouin, Mark Coates, Michael Rabbat
TON
2008
239views more  TON 2008»
13 years 7 months ago
Characterization of failures in an operational IP backbone network
Abstract--As the Internet evolves into a ubiquitous communication infrastructure and supports increasingly important services, its dependability in the presence of various failures...
Athina Markopoulou, Gianluca Iannaccone, Supratik ...
TON
2010
167views more  TON 2010»
13 years 2 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...