150 search results - page 23 / 30 » The Minimum Description Length Principle in Coding and Model... |
INTERSPEECH
2010
13 years 2 months ago
2010
The autoregressive HMM has been shown to provide efficient parameter estimation and high-quality synthesis, but in previous experiments decision trees derived from a non-autoregre...
MEMOCODE
2005
IEEE
14 years 1 months ago
2005
IEEE
We describe race-free properties of a hardware description language called GEZEL. The language describes networks of cycle-true finite-state-machines with datapaths (FSMDs). We de...
COLT
2004
Springer
13 years 11 months ago
2004
Springer
We show that forms of Bayesian and MDL inference that are often applied to classification problems can be inconsistent. This means that there exists a learning problem such that fo...
ICML
1996
IEEE
14 years 8 months ago
1996
IEEE
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
WWW
2008
ACM
14 years 8 months ago
2008
ACM
In this paper, we propose a novel unsupervised approach to query segmentation, an important task in Web search. We use a generative query model to recover a query's underlyin...