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Empirical learning aided by weak domain knowledge in the form of feature importance
neural network domain knowledge prior knowledge feature importance
2015/7/15
Standard hybrid learners that use domain knowledge require stronger knowledge that is hard and expensive to acquire. However, weaker domain knowledge can benefit from prior knowledge while being cost ...
Template Sampling for Leveraging Domain Knowledge in Information Extraction
Template Sampling Domain Knowledge Information Extraction
2015/6/12
We initially describe a feature-rich discriminative Conditional Random Field (CRF) model for Information Extraction in the workshop announcements domain, which offers good baseline performance in the ...
Combining domain knowledge and statistical models in time series analysis
time series analysis domain knowledge empirical models mechanisticmodels combined substantive-empirical approach basis function
2010/4/27
This paper describes a new approach to time series modeling that
combines subject-matter knowledge of the system dynamics with statistical
techniques in time series analysis and regression. Applicat...