2252 search results - page 283 / 451 » A distributed machine learning framework |
96
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
84
Voted
ICML
2009
IEEE
16 years 1 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...
107
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
The conditional distribution of a discrete variable y, given another discrete variable x, is often specified by assigning one multinomial distribution to each state of x. The cost...
119
click to vote
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...