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.
«When we give our machine -
learning algorithm access to historical customer service data, it begins to identify
patterns and
learn in a human - like way,» Mikhail Naumov told me.
Machine -
learning algorithms then determine user risk based on usage
patterns.)
Ince developed a pipeline of machine
learning algorithms to interpret the brain waves, and after two years his
algorithm identified the
pattern.
«The
algorithm did exactly what we asked; it
learned patterns in the data,» she says.
A computer
algorithm processed the monkey's brain activity, homing in on
patterns of neurons firing as it
learned to do the task.
Many of those efforts use machine
learning and artificial intelligence - based
algorithms to compare
patterns in the evidence.
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.
For Novotny, the feature is crucial because it will allow his team to «sample» qubits during the process, which opens the door to D - Wave exploring a different type of machine -
learning algorithm that could
learn to recognize much more complex
patterns of cyberattacks.
MACHINE
LEARNING The use of
algorithms that find
patterns in data without explicit instruction.
He works on machine -
learning algorithms known as Boltzmann machines, used to study
patterns in online traffic and identify cyberattacks.
Studies suggest that computer models called neural networks may
learn to recognize
patterns in data using the same
algorithms as the human brain
The
algorithms need intensive training, the deep
learning that takes advantage of computational speed and
pattern - matching.
By using a machine -
learning algorithm, the research team was able to understand the relationship between sentence meaning and brain activation
patterns in English and then recognize sentence meaning based on activation
patterns in Portuguese.
Using machine -
learning, the researchers created a computer
algorithm that could read out the
pattern of neurons firing in the Prefrontal Cortex and reliably determine whether a subject was perceiving a cloud of dots or remembering one they had seen before.
When his team tasked a computer with
learning to identify air - pressure
patterns called teleconnections, such as the El Niño weather
pattern, the
algorithm found a previously unrecognized example over the Tasman Sea.
But with machine
learning, computer
algorithms can quickly flip through available stacks of images, identifying
patterns that reveal a star's properties.
Machine
learning involves training a computer to recognise
patterns in data, and is central to many
algorithms that drive Google's services.
As researchers team up with computer scientists to develop powerful
algorithms and machine
learning tools, they are increasing their capacity to identify
patterns in huge datasets of biological information and reveal unknown connections to human disease.
The method they used is known as deep
learning, a type of machine
learning that involves
algorithms that can analyze data, recognize
patterns, and make predictions.
When coupled with deep neural networks — a type of machine -
learning algorithm that has demonstrated high accuracy in performing
pattern and image recognition — the devices would be able to provide continuous data collection to detect irregular heart rhythms.
«EnhancerFinder is a machine -
learning algorithm that takes in basic genetic information — a HAR sequence, known evolutionary
patterns, other functional genomics data — and returns a prediction of that HAR's function,» explained Tony Capra, PhD, the study's lead author.
Then the researchers employed a machine
learning algorithm to figure out which eye
patterns were typically associated with mind wandering and which weren't.
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.
The machine
learning algorithm identified X-linked genes with significant differences in methylation
patterns in boys, compared with girls.
In schools, the study of
algorithms includes
learning about the ways that information and processes can be represented systematically, the common building blocks of
algorithms, such as loops and conditional statements, and
patterns in the design of
algorithms.
Generally, the goal of EDM is to look for new
patterns in data and develop new
algorithms and statistical models that can be applied in digital
learning.
Our Everyday Mathematics lessons work with units from Contexts for
learning to include: addition and subtraction of whole numbers (fact families / fact triangles), fact extensions, use of base ten blocks, place value, money, telling time and calculating elapsed time, number
patterns, use of a number grid, estimation, graphing, problem solving, and
algorithms, measurement, multiplication, and division.
Thus, company officials insisted for the optimization of
algorithms to increase accuracy responsible for the virtual keyboard, the system is able to
learn the
pattern used by the user, automatically correcting the most common mistakes.
But AlphaGo was not preprogrammed to play Go: rather, it
learned using a general - purpose
algorithm that allowed it to interpret the game's
patterns...»
* 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).»
The deep
learning algorithm operates in a «16,000 - dimensional space» which does a lot of the heavy
pattern recognition lifting.
Geo - fencing is probably a better solution than an
algorithm that takes time to
learn your home / away
patterns, but that feature alone isn't enough to justify the Lyric's high price tag.
Before deep
learning became the norm, researchers had to specifically tell
algorithms what
patterns to find: look for the distance between the eyebrow and nose, the lips and chin, etc..
Researchers typically set a few images aside from the data the
algorithm is taught with in order to test it and make sure it's actually
learning patterns between people in general and not just those specific people.
By recognizing
patterns over time, our sensors and deep
learning algorithms let us make door detection an automated feature.
Pattern Learning The Noon Smart Lighting System reads electrical currents and uses advanced
algorithms to automatically detect and identify the type of bulb and fixture being used.
The project seeks to develop machine -
learning algorithms that can scan and identify
patterns in sex ads, including the identification of illegal prostitution rings by identifying cryptocurrency wallets that are associated with multiple ads.