11325 search results - page 190 / 2265 » Active Model Selection |
122
Voted
COLING
2002
15 years 3 months ago
2002
We present a comparative evaluation of two data-driven models used in translation selection of English-Korean machine translation. Latent semantic analysis(LSA) and probabilistic ...
110
Voted
NAACL
2007
15 years 5 months ago
2007
We present a method for automatic determiner selection, based on an existing language model. We train on the Penn Treebank and also use additional data from the North American New...
111
Voted
GECCO
2003
Springer
15 years 9 months ago
2003
Springer
Abstract. When Genetic Algorithms (GAs) are employed in multimodal function optimization, engineering and machine learning, identifying multiple peaks and maintaining subpopulation...
143
Voted
ICMLA
2009
15 years 1 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
147
Voted
BMEI
2009
IEEE
15 years 4 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...