Non-parametric models - Open Access .click

Journal of the Operational Research Society, 1986
All existing tests and criteria for model evaluation are based on the sum of squared residuals. These measures do not evaluate the performance of a model in predicting turning points in the variable of interest. Here, three tests are proposed to evaluate models on the basis of their ability to predict turning points and to give an unbiased prediction ...
Dadkhah, Kamran M., Zahedi, Fatemeh
openaire +2 more sources

Learning non-parametric models of pronunciation

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
As more data becomes available for a given speech recognition task, the natural way to improve recognition accuracy is to train larger models. But, while this strategy yields modest improvements to small systems, the relative gains diminish as the data and models grow.
Brian Hutchinson, Jasha Droppo
openaire +2 more sources

A non-parametric topical relevance model

Information Retrieval Journal, 2018
An information retrieval (IR) system can often fail to retrieve relevant documents due to the incomplete specification of information need in the user’s query. Pseudo-relevance feedback (PRF) aims to improve IR effectiveness by exploiting potentially relevant aspects of the information need present in the documents retrieved in an initial search ...
Debasis Ganguly, Gareth J. F. Jones
openaire +1 more source

fos: computer and information sciences
machine learning
machine learning cs.lg

16. peace & justice
computer science - machine learning
8. economic growth

non-parametric regression
non-parametric
machine learning stat.ml