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» Choosing an accurate network path model
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COLING
2008
14 years 11 months ago
Homotopy-Based Semi-Supervised Hidden Markov Models for Sequence Labeling
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
Gholamreza Haffari, Anoop Sarkar
GIS
2009
ACM
15 years 1 months ago
Towards modeling the traffic data on road networks
A spatiotemporal network is a spatial network (e.g., road network) along with the corresponding time-dependent weight (e.g., travel time) for each edge of the network. The design ...
Ugur Demiryurek, Bei Pan, Farnoush Banaei Kashani,...
89
Voted
MONET
2006
129views more  MONET 2006»
14 years 9 months ago
Enabling Intelligent Handovers in Heterogeneous Wireless Networks
In the future Wireless Internet, mobile nodes will be able to choose between providers offering competing services at a much finer granularity than we find today. Rather than month...
Robert C. Chalmers, Govind Krishnamurthi, Kevin C....
JSAC
2006
112views more  JSAC 2006»
14 years 9 months ago
Network Kriging
ABSTRACT. Network service providers and customers are often concerned with aggregate performance measures that span multiple network paths. Unfortunately, forming such network-wide...
David B. Chua, Eric D. Kolaczyk, Mark Crovella
TON
2010
167views more  TON 2010»
14 years 4 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...