Sentences with phrase «from machine learning algorithms»

The Honor 8 is also set to benefit from the machine learning algorithms of EMUI 5.0, which, according to Huawei will «dynamically optimize the processing resources by analyzing the user's behavior over time and prioritizing the frequently used apps.»

The Honor 8 is also expected to gain from the machine learning algorithms which EMUI 5.0 supports.

The lower two graphs are the results from the machine learning algorithm, which discovered the protein families that had similar patterns in the remaining 9,900 protein families.

Not exact matches

The technical challenge they had embarked on was indeed daunting, requiring models for turning speech, with all its nuances and inflections, into neatly labeled data that can be fed into machine - learning algorithms, which would then try to extract behavioral patterns from it.

It's developing a machine - learning algorithm that uses data from the genomes of both phages and bacteria.

It says it's «confident» in its machine learning algorithm to distinguish whether a user is from say, Russia or Poland.

GE notes that radiologists» error rate in x-ray based diagnoses can range from 35 % to 50 %; the hope is that the eight machine deep learning algorithms being deployed as part of the partnership can help bring that figure down significantly by more accurately analyzing the medical data.

The algorithms are created by blending research and expertise from neuroscience and machine learning.

With this investment, Kabbage — a company that combines machine - learning algorithms, data from public profiles on the internet and other factors to rate and then loan small businesses money — will expand its lending products and services.

The primary objective of Signals is to provide traders with a bounty of trading algorithms, from traditional technical analysis to machine learning methods.

Then, to narrow the field, a team of researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), led by Ryan Adams, Assistant Professor of Computer Science, developed new machine learning algorithms to predict which molecules were likely to have good outcomes, and prioritize those to be virtually tested.

The ~ 200 GB of data for each brain was then analyzed with machine learning algorithms that identify individual neurons by type, according to parameters «learned» from human experts.

Machine learning algorithms can now reliably diagnose skin cancers (from photographs) and lung cancer, and predict the risk of seizures.

The team's four machine - learning algorithms ranged in accuracy from 77.5 % to 85 %.

Google research scientist Lily Peng, a physician, led a team that developed a machine learning algorithm to diagnose a patient's risk of diabetic retinopathy from a retinal scan.

Two physicists at ETH Zurich and the Hebrew University of Jerusalem have developed a novel machine - learning algorithm that analyses large data sets describing a physical system and extract from them the essential information needed to understand the underlying physics.

The algorithms they develop help machines learn from data and apply that knowledge in new situations, much like humans do.

Using a training set of images of people from the Web, the machine learning algorithms mastered identifying a human figure and nine anatomical sections, such as torso, upper left arm or lower right leg.

Users are also asked to turn their head as they scan so the phone's machine - learning algorithm can measure the face from several angles and create a more detailed 3 - D map of their features.

The researchers calculated the energies of common crystal structures for a small library of binary alloys — mixes of two different metals — and then designed a machine - learning algorithm that could extract patterns from the library and guess the most likely ground state for a new alloy.

Fukui then used a novel machine learning algorithm prepared by his group to analyze the sounds and compare them with PSG data taken from the same sleeping students.

«But if you have enough data from CovertBand, you could run it through machine - learning algorithms to help classify more movements for faster identification.»

Still, the principle that Carleo (who recently moved to the Flatiron Institute in New York), together with Matthias Troyer, Guglielmo Mazzola (both at ETH) and Giacomo Torlai from the University of Waterloo as well as colleagues at the Perimeter Institute and the company D - Wave in Canada have used for their machine learning algorithm is quite similar.

Machine learning utilises algorithms that can learn from and perform predictive data analysis.

These ratings were then used to train a machine - learning algorithm to extract a single score from the measured values that would faithfully reflect the perceptual judgement of the volunteers.

It's designed to allow machine learning researchers and algorithms to tackle a wide range of open challenges — from note prediction to automated music transcription to listening recommendations based on the structure of a song a person likes, instead of relying on generic tags or what other customers have purchased.

«To go beyond this we use modern machine - learning methods where you don't necessarily know how a computer has made a decision about a particular sound, but by training it, which means showing it lots of previous examples, we can encourage a computer algorithm to generalise from those.»

Finally, a machine learning algorithm (KSVM) is used to determine if the patient suffers from atrial fibrillation.»

A classical music dataset released by University of Washington researchers — which enables machine learning algorithms to learn the features of classical music from scratch — raises the likelihood that a computer could expertly finish the job.

Founded by data scientists, clinicians, and microbiologists from MIT and OpenBiome, Finch uses machine - learning algorithms informed by high - throughput molecular data to reverse engineer successful experiences with fecal transplantation.

To check that their machine - learning algorithm was correctly separating the focused mind from the wandering mind, D'Mello and his colleagues looked at how much the students in his experiment were actually learning through the educational software, which also tracked students» progress.

Base calling was performed with the machine learning algorithm Ibis [63] and overlapping read pairs obtained from paired - end sequencing runs were merged into single sequences.

New in DR14 is the first public release of data from the extended Baryon Oscillation Spectroscopic Survey (eBOSS); the first data from the second phase of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE - 2), including stellar parameter estimates from an innovative data driven machine learning algorithm known as «The Cannon»; and almost twice as many data cubes from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous release (N = 2812 in total).

We've seen before how Google is experimenting with its RAISR algorithm to add detail and sharpness to images, but a new paper from a team of Google Brain researchers shows how machine learning might take things to a whole new level.

According to TechCrunch, Hily uses a «machine - learning» algorithm that takes data from your messages, mutual likes with other matches, photos sent, and other ways that online daters interact online.

Then, the advanced matching algorithm of the Personal Matches feature applies machine learning technology to assess hundreds of thousands of photos as well as other components of members dating mix from LoveAgains internal database.

Here are some examples: # 1) «A Parallel Nonnegative Tensor Factorization Algorithm for Mining Global Climate Data» http://www.springerlink.com/content/u4x12132j06r40h3/ (from LNCS - Lecture Notes in Computer Science) # 2) «Dowinscaling of precipitation for climate change scenarios: A support vector machine approach» http://eprints.iisc.ernet.in/18799/ (Journal Of Hydrology) # 3) «Semi-supervised learning with data calibration for long - term time series forecasting» http://portal.acm.org/citation.cfm?id=1401911 (Knowledge Discovery and Data Mining Journal) There are tons that I can quoted, but the 3 references that I have linked to above clarifies my point.

Machine learning: The programmers decide whether to include instructions that allow the algorithm to «learn» from the data in the database and make predictions.

* According to a recent article, Jackson is an expert in «information retrieval (search), document categorization (automated indexing of content), machine learning (the design of algorithms that enable software to learn from and make decisions based on data patterns), and natural language processing (in which software can summarize content, convert computer language into human language and vice versa, or make a computer speak with human tones).»

First, for each type of agreement, it used a machine learning algorithm to create a composite model derived from a sample set of 250 documents chosen by its M&A editors.

For this, it relies on machine learning algorithms that try to understand the data within contracts and learn from it.

They draw on traditional legal research and insights gained from Tax Foresight's case law data and machine learning algorithms.

To that end, Reben creates projects like Let Us Exaggerate, «an algorithm which creates gobbly - gook art - speak from learning Artforum articles,» Synthetic Penmanship, which accurately mimics a person's handwriting, Korible Bibloran, an algorithm that generates new scripture based on its understanding of the Bible and Koran, or Algorithmic Collaboration: Fractal Flame, which blurs the line of creatorship between human and machine.

The number of malicious apps removed from the store rose more than 70 percent in 2017 from 2016 to 700,000, thanks to an improved machine learning detection algorithm for malicious and abusive techniques, according to the company's end - of - year report.

The new playlists are built using these various machine learning algorithms, combined with the raw audio analysis from the Music Genome, more traditional collaborative filtering methods, and in - house editorial curation.

At present, most commercial machine learning algorithms learn about the world from data sets made up of videos and still images.

Deep neural net - based machine learning algorithms to process messages from voice - based devices to understand end - user input and take action;

Instead of relying on image data from two camera sensors, software depth of field filters and adjustment sliders use machine learning, computational photography, and algorithms to approximate bokeh effects.

I worked there as the head of algorithms research, and then I learned about Bitcoin from a blog post on lesswrong.com, which is a blog about rationality, and they mentioned that the Singularity Institute [now the Machine Intelligence Research Insitute] started accepting Bitcoin donations, so that's how I first learned about it, and then of course I started looking into what it is exactly.

First off, we have Index, our intelligence platform that harnesses data from hundreds of thousands of companies thanks to machine learning and matching algorithms.