18 search results - page 4 / 4 » Learning Hidden Markov Models for Regression using Path Aggr... |
KDD
2008
ACM
14 years 6 months ago
2008
ACM
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
SDM
2007
SIAM
13 years 7 months ago
2007
SIAM
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
TASLP
2008
13 years 5 months ago
2008
We describe an acoustic chord transcription system that uses symbolic data to train hidden Markov models and gives best-of-class frame-level recognition results. We avoid the extre...