410 search results - page 34 / 82 » Incremental Construction of Structured Hidden Markov Models |
JMLR
2010
13 years 5 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
ECML
2004
Springer
14 years 4 months ago
2004
Springer
One approach to improve the accuracy of classifications based on generative models is to combine them with successful discriminative algorithms. Fisher kernels were developed to c...
ATAL
2006
Springer
14 years 2 months ago
2006
Springer
We present a method for learning a human understandable, executable model of an agent's behavior using observations of its interaction with the environment. By executable we ...