276 search results - page 3 / 56 » PAC-Learning of Markov Models with Hidden State |
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
ICASSP
2011
IEEE
2011
IEEE
Polyphonic audio-to-score alignment based on Bayesian Latent Harmonic Allocation Hidden Markov Model
12 years 10 months ago
This paper presents a Bayesian method for temporally aligning a music score and an audio rendition. A critical problem in audio-toscore alignment is in dealing with the wide varie...
PERCOM
2009
ACM
14 years 1 months ago
2009
ACM
—The primary function of a cognitive radio is to detect idle frequencies or sub-bands, not used by the primary users (PUs), and allocate these frequencies to secondary users. The...
NIPS
2003
13 years 7 months ago
2003
We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
ECML
2006
Springer
13 years 10 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...