1864 search results - page 93 / 373 » Modeling Classification and Inference Learning |
118
click to vote
PAMI
2006
15 years 17 days ago
2006
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
215
click to vote
PAKDD
2011
ACM
14 years 6 months ago
2011
ACM
Discovering rare categories and classifying new instances of them is
an important data mining issue in many fields, but fully supervised
learning of a rare class classifier is pr...
103
click to vote
NIPS
2004
15 years 2 months ago
2004
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
105
click to vote
IDA
2002
Springer
15 years 13 days ago
2002
Springer
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
112
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
The infinite hidden Markov model is a nonparametric extension of the widely used hidden Markov model. Our paper introduces a new inference algorithm for the infinite Hidden Markov...