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» Application - Platform Performance Modeling and Evaluation
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GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
16 years 18 days ago
Inducing a generative expressive performance model using a sequential-covering genetic algorithm
In this paper, we describe an evolutionary approach to inducing a generative model of expressive music performance for Jazz saxophone. We begin with a collection of audio recordin...
Rafael Ramirez, Amaury Hazan
UAI
2000
15 years 7 months ago
Building a Stochastic Dynamic Model of Application Use
Many intelligent user interfaces employ application and user models to determine the user's preferences, goals and likely future actions. Such models require application anal...
Peter Gorniak, David Poole
SDM
2008
SIAM
165views Data Mining» more  SDM 2008»
15 years 7 months ago
On the Dangers of Cross-Validation. An Experimental Evaluation
Cross validation allows models to be tested using the full training set by means of repeated resampling; thus, maximizing the total number of points used for testing and potential...
R. Bharat Rao, Glenn Fung
ICMI
2010
Springer
141views Biometrics» more  ICMI 2010»
15 years 4 months ago
Learning and evaluating response prediction models using parallel listener consensus
Traditionally listener response prediction models are learned from pre-recorded dyadic interactions. Because of individual differences in behavior, these recordings do not capture...
Iwan de Kok, Derya Ozkan, Dirk Heylen, Louis-Phili...
SIGSOFT
2008
ACM
16 years 7 months ago
Inter-context control-flow and data-flow test adequacy criteria for nesC applications
NesC is a programming language for applications that run on top of networked sensor nodes. Such an application mainly uses an interrupt to trigger a sequence of operations, known ...
Zhifeng Lai, Shing-Chi Cheung, Wing Kwong Chan