1137 search results - page 27 / 228 » Parametric Process Model Inference |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper we discuss why a simple network topology inference algorithm based on network co-occurrence measurements and a Markov random walk model for routing enables perfect t...
ILP
2007
Springer
14 years 1 months ago
2007
Springer
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
IJCAI
2003
13 years 9 months ago
2003
Most probabilistic inference algorithms are specified and processed on a propositional level. In the last decade, many proposals for algorithms accepting first-order specificat...
ISBI
2004
IEEE
14 years 8 months ago
2004
IEEE
Wavelet-based statistical analysis methods for fMRI are able to detect brain activity without smoothing the data. Typically, the statistical inference is performed in the wavelet ...