3819 search results - page 27 / 764 » Predicting Dependability by Testing |
EMNLP
2007
13 years 9 months ago
2007
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
ICIP
2000
IEEE
14 years 9 months ago
2000
IEEE
The signal-dependent rank order mean (SD-ROM) ?lter is effective at removing high levels of impulse noise from 2D scalar-valued signals. Excellent results have been presented for ...
KDD
2000
ACM
13 years 11 months ago
2000
ACM
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
IJON
2006
13 years 7 months ago
2006
We analyze the predictability of eye movements of observers viewing dynamic scenes. We first assess the effectiveness of model-based prediction. The model is divided into inter-sa...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
The large number of spectral variables in most data sets encountered in spectral chemometrics often renders the prediction of a dependent variable uneasy. The number of variables ...