Sentences with phrase «data classifier»

To analyze the neural recordings the researchers developed an odor - recognition data classifier and computational model that allowed them to compare the recognition scores between the natural flower scents and those embedded with various backgrounds.

Not exact matches

An algorithm sorted through timbre data taken from both baby - and adult - directed speech, and used this input to make a mathematical classifier.

Any results that are reported to constitute a blinded, independent validation of a statistical model (or mathematical classifier or predictor) must be accompanied by a detailed explanation that includes: 1) specification of the exact «locked down» form of the model, including all data processing steps, algorithm for calculating the model output, and any cutpoints that might be applied to the model output for final classification, 2) date on which the model or predictor was fully locked down in exactly the form described, 3) name of the individual (s) who maintained the blinded data and oversaw the evaluation (e.g., honest broker), 4) statement of assurance that no modifications, additions, or exclusion were made to the validation data set from the point at which the model was locked down and that neither the validation data nor any subset of it had ever been used to assess or refine the model being tested

After that, a classifier algorithm based on machine learning was trained to connect the specific emotions and the brain data related to them.

The classifier algorithm was then tested by giving it new brain data and by measuring how successfully the algorithm recognised the correct emotion solely on the basis of the brain data.

Huang's screening system is built on image - based classifiers (an algorithm that classifies data) constructed from a large number of Cervigram images.

This geometric view on data is useful in some applications, such as learning spam classifiers, but, the more dimensions, the longer it can take for an algorithm to run, and the more memory the algorithm uses.

To assess the predictive power of the GE changes between the groups, we employed machine - learning procedures to construct classifiers to predict group membership based on pre - versus post-intervention GE (vacation effect) and regular versus non-regular post-intervention GE data (meditation effect).

When entering the details about a trade, EdgeWonk's Advanced Trade Data has some detailed classifiers, including macro events that were occuring around your trade, like whether the market was trending or trading in a range, if there was in FOMC meeting, if the US President was speaking at the moment, etc..

Our intention is to use this data to train automated classifiers that will run against the whole of the content.

LexisNexis Risk Classifier utilizes data from attributes derived from public records, driving history and credit to help better assess a proposed insured's risk profile.3 What this means is credit history such as a bankruptcy, foreclosure, short sale, tax liens, or even a low credit score can affect your life insurance rates.

I formed a surge team to clear out a year - long backlog of more than 200 classification actions, and led the Business Unit (BU) Chiefs to evaluate data and develop metrics for each BU and individual classifier.

The initial mood of each patient was assessed by a clinician, with changes in mood monitored by self - reported questionnaires; the mood states were then used to determine the accuracy of the classifiers, which use HRV to predict mood, with an accuracy of around 90 %.28 No data were collected on healthy controls (or another clinical group), making it difficult to establish the specificity of the findings to BD.

This improvement will benefit classifiers because they will have more descriptive data which can be evaluated to identify questionable items on the tax return.