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» Time prediction based on process mining
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CF
2007
ACM
13 years 12 months 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...
BMCBI
2008
105views more  BMCBI 2008»
13 years 8 months ago
A gene pattern mining algorithm using interchangeable gene sets for prokaryotes
Background: Mining gene patterns that are common to multiple genomes is an important biological problem, which can lead us to novel biological insights. When family classification...
Meng Hu, Kwangmin Choi, Wei Su, Sun Kim, Jiong Yan...
VTC
2007
IEEE
109views Communications» more  VTC 2007»
14 years 2 months ago
Performance Evaluation of Opportunistic Beamforming with SINR Prediction for HSDPA
— In this paper, Opportunistic Beamforming for HSDPA is considered. Opportunistic Beamforming can jointly increase the system throughput and the quality of service in multiuser c...
Markus Jordan, Gerd Ascheid, Heinrich Meyr
KDD
2000
ACM
142views Data Mining» more  KDD 2000»
13 years 11 months ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
13 years 9 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider