24 search results - page 3 / 5 » Empirical Characterization of Discretization Error in Gradie... |
SEFM
2007
IEEE
14 years 9 days ago
2007
IEEE
Directed model checking algorithms focus computation resources in the error-prone areas of concurrent systems. The algorithms depend on some empirical analysis to report their per...
RECOMB
2003
Springer
14 years 6 months ago
2003
Springer
Many genomic sequences and, more generally, (multivariate) time series display tremendous variability. However, often it is reasonable to assume that the sequence is actually gene...
NIPS
2008
13 years 7 months ago
2008
Empirical evidence shows that in favorable situations semi-supervised learning (SSL) algorithms can capitalize on the abundance of unlabeled training data to improve the performan...
AAAI
2008
13 years 8 months ago
2008
Agents often have to construct plans that obey resource limits for continuous resources whose consumption can only be characterized by probability distributions. While Markov Deci...
JMLR
2010
13 years 24 days ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...