51 search results - page 8 / 11 » Annotation-based empirical performance tuning using Orio |
80
Voted
GECCO
2009
Springer
15 years 4 months ago
2009
Springer
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
JSSPP
2005
Springer
15 years 3 months ago
2005
Springer
Recently HP Labs engaged in a joint project with DreamWorks Animation to develop a Utility Rendering Service that was used to render part of the computer-animated feature film Shr...
60
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
ECML
2007
Springer
15 years 3 months ago
2007
Springer
The stability of sample based algorithms is a concept commonly used for parameter tuning and validity assessment. In this paper we focus on two well studied algorithms, LSI and PCA...
SIGIR
2002
ACM
14 years 9 months ago
2002
ACM
The optimal settings of retrieval parameters often depend on both the document collection and the query, and are usually found through empirical tuning. In this paper, we propose ...