Not exact matches
In our research, we incorporated an ensemble of computational
methods from
machine learning, image processing, and
other data - scientific disciplines to extract useful psychological indicators from photographic data.
The study, published in the Journal of Wine Economics with guidance from Invinio, found more complex
machine learning methods outperformed
other simpler processes commonly used for financial predictions.
The
method is based on Approximate Bayesian Computation (ABC), which is a
machine learning method that has been developed to infer very complex models from observations, with uses in climate sciences and epidemiology among
others.
We are currently expanding KinderMiner using
machine learning and
other methods to consider context, synonyms, and distinguishing a negative from a positive hit.