1845 search results - page 53 / 369 » Machine-Learning Applications of Algorithmic Randomness |
EVOW
2008
Springer
13 years 11 months ago
2008
Springer
Abstract. Lexical variance in biomedical texts poses a challenge to automatic protein relation mining. We therefore propose a new approach that relies only on more general language...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
ML
2006
ACM
13 years 9 months ago
2006
ACM
We investigate explicit segment duration models in addressing the problem of fragmentation in musical audio segmentation. The resulting probabilistic models are optimised using Mar...
ML
1998
ACM
13 years 8 months ago
1998
ACM
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
ECML
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Motivated by the analogies to statistical physics, the deterministic annealing (DA) method has successfully been demonstrated in a variety of application. In this paper, ...