131 search results - page 8 / 27 » Predicting parallel application performance via machine lear... |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We present a large-margin formulation and algorithm for structured output prediction that allows the use of latent variables. Our proposal covers a large range of application prob...
ECAI
2004
Springer
14 years 1 months ago
2004
Springer
The paper addresses the question whether it is possible for a machine to learn to distinguish and recognise famous musicians (concert pianists), based on their style of playing. We...
JCIT
2010
13 years 2 months ago
2010
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
ESSMAC
2003
Springer
14 years 27 days ago
2003
Springer
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
IEEEPACT
2005
IEEE
14 years 1 months ago
2005
IEEE
The continual demand for greater performance and growing concerns about the power consumption in highperformance microprocessors make the branch predictor a critical component of ...