75 search results - page 13 / 15 » Feature Lattices for Maximum Entropy Modelling |
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
Prosody is an important cue for identifying dialog acts. In this paper, we show that modeling the sequence of acousticprosodic values as n-gram features with a maximum entropy mod...
CANDC
2006
ACM
13 years 6 months ago
2006
ACM
A model of hydrophobic collapse, which is treated as the driving force for protein folding, is presented. This model is the superposition of three models commonly used in protein ...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
ICASSP
2009
IEEE
14 years 1 months ago
2009
IEEE
Maximum-Likelihod Linear Regression (MLLR) transform coefficients have shown to be useful features for text-independent speaker recognition systems. These use MLLR coefficients ...
KDD
2005
ACM
14 years 2 days ago
2005
ACM
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...