121 search results - page 10 / 25 » Inducing Hidden Markov Models to Model Long-Term Dependencie... |
HPCS
2005
IEEE
14 years 1 months ago
2005
IEEE
— With the principal goal of developing an alternative, relatively simple and tractable pricing framework for accurately reproducing a market implied volatility surface, this pap...
APPROX
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. Markov random fields are often used to model high dimensional distributions in a number of applied areas. A number of recent papers have studied the problem of reconstruc...
ACL
1997
13 years 8 months ago
1997
A new language model for speech recognition inspired by linguistic analysis is presented. The model develops hidden hierarchical structure incrementally and uses it to extract mea...
CVPR
1998
IEEE
14 years 9 months ago
1998
IEEE
In previous work [14], we modify the hidden Markov model (HMM) framework to incorporate a global parametric variation in the output probabilities of the states of the HMM. Develop...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Modeling long-term dependencies in time series has proved very difficult to achieve with traditional machine learning methods. This problem occurs when considering music data. In ...