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» Approximating Component Selection
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CSDA
2010
208views more  CSDA 2010»
13 years 7 months ago
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...
CISSE
2009
Springer
13 years 5 months ago
Optimal Component Selection for Component-Based Systems
In Component-based Software (CBS) development, it is desirable to choose software components that provide all necessary functionalities and at the same time optimize certain nonfun...
Muhammad Ali Khan, Sajjad Mahmood
SEAA
2008
IEEE
14 years 1 months ago
Towards Efficient Software Component Evaluation: An Examination of Component Selection and Certification
When software systems incorporate existing software components, there is a need to evaluate these components. Component evaluation is of two kinds according to literature: compone...
Rikard Land, Alexandre Alvaro, Ivica Crnkovic
AAAI
2006
13 years 8 months ago
Learning Basis Functions in Hybrid Domains
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
ECCV
2002
Springer
14 years 9 months ago
Multimodal Data Representations with Parameterized Local Structures
Abstract. In many vision problems, the observed data lies in a nonlinear manifold in a high-dimensional space. This paper presents a generic modelling scheme to characterize the no...
Ying Zhu, Dorin Comaniciu, Stuart C. Schwartz, Vis...