842 search results - page 42 / 169 » Distributions of Maximum Likelihood Estimators and Model Com... |
TASLP
2010
14 years 4 months ago
2010
Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...
DICTA
2009
14 years 11 months ago
2009
In many applied problems in the context of pattern recognition, the data often involve highly asymmetric observations. Normal mixture models tend to overfit when additional compone...
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EMNLP
2007
14 years 11 months ago
2007
A notable gap in research on statistical dependency parsing is a proper conditional probability distribution over nonprojective dependency trees for a given sentence. We exploit t...
CSDA
2007
14 years 9 months ago
2007
Many probabilistic models are only defined up to a normalization constant. This makes maximum likelihood estimation of the model parameters very difficult. Typically, one then h...
SODA
2001
ACM
14 years 11 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...