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104
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ICML
2001
IEEE
16 years 3 months ago
An Improved Predictive Accuracy Bound for Averaging Classifiers
We present an improved bound on the difference between training and test errors for voting classifiers. This improved averaging bound provides a theoretical justification for popu...
John Langford, Matthias Seeger, Nimrod Megiddo
108
Voted
TSP
2010
14 years 9 months ago
Improved dual decomposition based optimization for DSL dynamic spectrum management
Dynamic spectrum management (DSM) has been recognized as a key technology to significantly improve the performance of digital subscriber line (DSL) broadband access networks. The b...
Paschalis Tsiaflakis, Ion Necoara, Johan A. K. Suy...
139
Voted
ACL
2012
13 years 5 months ago
Using Rejuvenation to Improve Particle Filtering for Bayesian Word Segmentation
We present a novel extension to a recently proposed incremental learning algorithm for the word segmentation problem originally introduced in Goldwater (2006). By adding rejuvenat...
Benjamin Börschinger, Mark Johnson
106
Voted
COCOON
2007
Springer
15 years 8 months ago
Improved Throughput Bounds for Interference-Aware Routing in Wireless Networks
We propose new algorithms and improved bounds for interference-aware routing in wireless networks. First, we prove that n arbitrarily matched source-destinations pairs with average...
Chiranjeeb Buragohain, Subhash Suri, Csaba D. T&oa...
130
Voted
ECCV
2008
Springer
16 years 4 months ago
Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo
We propose an algorithm to improve the quality of depth-maps used for Multi-View Stereo (MVS). Many existing MVS techniques make use of a two stage approach which estimates depth-m...
Carlos Hernández, George Vogiatzis, Neill D...