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» Predicting relative performance of classifiers from samples
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MOBISYS
2011
ACM
12 years 12 months ago
AccuLoc: practical localization of performance measurements in 3G networks
Operators of 3G data networks need to distinguish the performance of each geographic area in their 3G networks to detect and resolve local network problems. This is because the qu...
Qiang Xu, Alexandre Gerber, Zhuoqing Morley Mao, J...
AAAI
2008
13 years 11 months ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small
INFORMATICALT
2008
122views more  INFORMATICALT 2008»
13 years 8 months ago
Modeling Phone Duration of Lithuanian by Classification and Regression Trees, using Very Large Speech Corpus
Classification and regression tree approach was used in this research to model phone duration of Lithuanian. 300 thousand samples of vowels and 400 thousand samples of consonants e...
Giedrius Norkevicius, Gailius Raskinis
CVPR
2004
IEEE
14 years 26 days ago
Parts-Based 3D Object Classification
This paper presents a parts-based method for classifying scenes of 3D objects into a set of pre-determined object classes. Working at the part level, as opposed to the whole objec...
Daniel F. Huber, Anuj Kapuria, Raghavendra Donamuk...
BMCBI
2006
136views more  BMCBI 2006»
13 years 9 months ago
Java GUI for InterProScan (JIPS): A tool to help process multiple InterProScans and perform ortholog analysis
Background: Recent, rapid growth in the quantity of available genomic data has generated many protein sequences that are not yet biochemically classified. Thus, the prediction of ...
Aijazuddin Syed, Chris Upton