Sentences with phrase «machine learning methods for»

There, he worked on developing machine learning methods for integration of large - scale, heterogeneous biological data with applications in protein function prediction and precision medicine.

When I started with IBM, machine learning methods for game - playing programs were fairly primitive and not able to help us much in building Deep Blue.

Not exact matches

Teforia aims to take the guesswork out with its patent - pending selective infusion process (SIP) that uses machine - learning to determine the best brewing method for each type of tea.

US Army researchers recently unveiled a new method for applying machine learning techniques to facial recognition using thermal...

Methods from optogenetics and machine learning should help improve treatment options for stroke patients.

Last week, at the Association for Computational Linguistics» Conference on Empirical Methods on Natural Language Processing, researchers from MIT's Computer Science and Artificial Intelligence Laboratory won a best - paper award for a new approach to information extraction that turns conventional machine learning on its head.

«Using AI to detect heart disease: Researchers apply machine learning to create a quick and easy method for measuring changes linked to cardiovascular disease.»

It uses machine learning to spot common patterns in suspicious ads, and then uses publicly available information from the payment method used to pay for them — bitcoin — to help identify who placed them.

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.

Satta, whose PhD is in computer vision and machine learning from the University of Cagliari in Italy, became «fascinated by the possibilities» for making use of the noise in 2011 when he heard Chang - Tsun Li of the University of Warwick in England present work on novel methods for identifying the noise pattern in photographs.

Bellinger and Angelou et al. (2016) recently introduced a new method based on machine learning for inferring the stellar parameters of main - sequence stars exhibiting solar - like oscillations.

In this study, we select a subset of FS methods to develop an efficient workflow and an R package for bioinformatics machine learning problems.

Computational approaches for variant prioritization include machine learning methods utilizing a large number of features, including molecular information, interaction networks, or phenotypes.

This project seeks to use a blend modern causal inference, machine learning methods, and classic statistical tools from survey sampling to extend existing approaches for treatment effect variation into education contexts.

Machine learning techniques provide cost - effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models.

* Method of estimation: Previously established base rate of women in neurally inspired machine learning based on registration for NIPS 2016.

Their peer - reviewed research paper, «Evaluation of Machine - Learning Protocols for Technology - Assisted Review in Electronic Discovery,» also showed that using random documents was the least effective method for training a TAR system.

Professional Responsibility (Practice + Professionalism)- Fall 2016, Fall 2017 Quantitative Methods for Lawyers (Legal Analytics I)- Spring 2016, Fall 2016, Fall 2017 Legal Project Management + Legal Process Improvement - Spring 2017, Spring 2018 Legal Analytics II (Machine Learning for Lawyers)- Spring 2017, Spring 2018 Blockchain, Cryptocurrency + Law - Spring 2018 Electronic Discovery - Fall 2015 Civil Procedure - Spring 2016

Google has developed its own methods of on - device AI called «federated learning,» and has hinted that it too is working on mobile chips for machine learning.