58 search results - page 2 / 12 » Early stopping in L2Boosting |
ICANN
2005
Springer
14 years 3 months ago
2005
Springer
Abstract. Some issues about the generalization of ANN training are investigated through experiments with several synthetic time series and real world time series. One commonly acce...
VTC
2008
IEEE
14 years 4 months ago
2008
IEEE
—The error detection performance of CRC coding in LTE with general two-level early stopping algorithms for turbo decoding is investigated. Analytical models for the probability o...
ICASSP
2008
IEEE
14 years 4 months ago
2008
IEEE
Corpus-based concatenative speech synthesis is very popular these days due to its highly natural speech quality. The amount of computation required in the run time, however, is of...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
SIPS
2006
IEEE
14 years 3 months ago
2006
IEEE
Although many stopping methods of iterative decoding have been discussed in the literatures extensively, many of them only focus on the solvable decoding. In this paper, we propos...