59 search results - page 1 / 12 » Very Predictive Ngrams for Space-Limited Probabilistic Model... |
IDA
2003
Springer
14 years 28 days ago
2003
Springer
In sequential prediction tasks, one repeatedly tries to predict the next element in a sequence. A classical way to solve these problems is to fit an order-n Markov model to the da...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
BMCBI
2011
13 years 2 months ago
2011
Background: It has been suggested previously that genome and proteome sequences show characteristics typical of natural-language texts such as “signature-style” word usage ind...
TNN
2008
13 years 7 months ago
2008
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
NIPS
2000
13 years 9 months ago
2000
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...