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» A Data Analysis Method for Software Performance Prediction
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179
Voted
ML
2002
ACM
178views Machine Learning» more  ML 2002»
15 years 3 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
LCN
2002
IEEE
15 years 8 months ago
Performance Analysis of Token-Based Fast TCP in Systems Supporting Large Windows
Since TCP can only detect congestion after packet losses have already happened, various forms of Fast TCP (FTCP) have been proposed to notify congestion early and avoid packet los...
Fei Peng, Victor C. M. Leung
136
Voted
JMLR
2010
107views more  JMLR 2010»
14 years 10 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
151
Voted
HPCC
2005
Springer
15 years 9 months ago
High Performance Subgraph Mining in Molecular Compounds
Structured data represented in the form of graphs arises in several fields of the science and the growing amount of available data makes distributed graph mining techniques partic...
Giuseppe Di Fatta, Michael R. Berthold
119
Voted
SCAM
2007
IEEE
15 years 9 months ago
Finding Inputs that Reach a Target Expression
We present an automated program analysis, called Reach, to compute program inputs that cause evaluation of explicitly-marked target expressions. Reach has a range of applications ...
Matthew Naylor, Colin Runciman