296 search results - page 42 / 60 » How to process uncertainty in machine learning |
KDD
2010
ACM
14 years 21 days ago
2010
ACM
At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Elimination by aspects (EBA) is a probabilistic choice model describing how humans decide between several options. The options from which the choice is made are characterized by b...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
WWW
2008
ACM
14 years 9 months ago
2008
ACM
The combined efforts of human volunteers have recently extracted numerous facts from Wikipedia, storing them as machine-harvestable object-attribute-value triples in Wikipedia inf...