Sentences with phrase «using classifiers»

By using classifiers constructed from 5 to 15 metabolites, natural biological variation is more readily accommodated and diagnostic accuracy is more robust.

Not exact matches

The resulting dataset was then used to train a classifier algorithm that gives any headline posted on Facebook a «clickbait» score based on patterns.

Support Vector Machines (SVM) is used as the classifier technique to help predict the future direction of the stock price returns.

A separator classifier with aspiration channel (MTRB) separates out finer particles by using air aspiration.

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

Eventually, the classifiers could be applied to new videos, using the computer to categorize and define the flies» movements in a high - throughput way.

The algorithm uses a type of classifier known as Random Forests, which uses 21 different features to detect bots, and the classifier itself is trained by the original dataset annotated by the human annotators.

These signals were then translated into point - and - click commands using two algorithms developed through prior pre-clinical and clinical research: the ReFIT Kalman Filter for continuous two - dimensional cursor control (Gilja et al., 2012, 2015), and a Hidden Markov Model (HMM)- based state classifier for discrete selection («click»)(Kao et al., 2016).

The researchers have also released the multi-feature dataset and extensive evaluations using seven classic classifiers.

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.

Next, the authors used a machine learning classifier trained on 592 true positive and 1,630 false positive de novo calls that had been validated experimentally.

The classifier must be created once (the topmost diagram) using the set of cell images, and then it can be used (the lower diagram) for the analysis of the captured images.

Prediction and prioritization of rare oncogenic mutations in the cancer Kinome using novel features and multiple classifiers

These 100 protein families were then used as a «training set» to build a machine learning classifier that could classify the remaining 9,900 protein families in diseased versus healthy states.

Using this network as a feature calculator, we train standard classifiers that assign proteins to previously unseen compartments after observing only a small number of training examples.

Lastly, the researchers used these meta - features and constructed a generic classifier that can detect fake profiles in a variety of online social networks.

We then used these models in later sessions to decode the probability of memory success as items were encoded and triggered stimulation in closed - loop if the classifier indicated the word was likely to be forgotten.

Connie uses a combination of Watson APIs, including Dialog, Speech to Text, Text to Speech and Natural Language Classifier, to enable it to greet guests upon arrival and to answer questions about hotel amenities, services and hours of operation.

Global Fishing Watch runs this information — more than 22 million points of information per day — through machine learning classifiers to determine the type of ship (e.g., cargo, tug, sail, fishing), what kind of fishing gear (longline, purse seine, trawl) they're using and where they're fishing based on their movement patterns.

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

Each webinar features a demonstration of what Tax Foresight is teaching tax practitioners about the hidden dimensions of judicial decision - making, and will analyze a recently decided case using one of Tax Foresight's Classifiers.

Hard - working and enthusiastic Stamp Classifier with seven years of experience in classifying stamps based on their value and condition before selling them to collectors; who possesses a solid knowledge of the tools and materials used to classify stamps and has deep multi-tasking skills.

The working activities of a Stamp Classifier include organizing stamps into various classes based on a wide variety of factors such as, examining, evaluating and determining their value by using a stamp catalog.

The classifier then uses these same standards to determine the grade level of the job, based on factors such as how complex the work is and how closely your supervisor reviews your work.

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.