Trying to float the the idea (conflate for us): a) «an imperfect algorithm» versus the b) «implementation of an algorithm» i.e. a software error (which means, an error in «coding» regardless of the functionality /
accuracy of the algorithm attempted to be coded)?
The great advantages of dynamic simulation include the high temporal resolution, the depiction of temporally and spatially varying temperatures and
the accuracy of the algorithms to the underlying physical principles.
But while waiting I would love to see evidence as to
the accuracy of the algorithms used for the «infilled» or «fabricated» data produced by NOAA / NCDC to account for the missing observations.
Not exact matches
With Google planning to further develop and test its
algorithm on larger and more comprehensive datasets, it's reasonable to assume that the
accuracy of this test will improve over time.
«Feeding people's «likes» into an
algorithm, information hidden in the lists
of favorites predicted whether someone was white or African American with 95 %
accuracy, whether they were a gay male with 88 %
accuracy, and even identified participants as a Democrat or Republican with 85 %
accuracy.
That
of course will be the trick - Stitch Fix has broken away from the pack in large part because
of the strength
of its
algorithms and their overall
accuracy in making suggestions.
Even though the research studied 30,000 cases, «there are still a lot
of things that need to be looked at,» he said, «but based on our research and what our testing has shown, we are able to predict the future success
of a new campaign that the machine - learning
algorithm has never seen before with up to 80 per cent
accuracy.»
Google then introduced Hummingbird, its search
algorithm that aims to improve the
accuracy and relevancy
of its query results.
By using a collaborative robot and smart
algorithms from the University
of Lincoln, it is possible quickly weigh out free - flowing and non-free flowing powders, to a recipe, to an
accuracy of 1g with zero cross-contamination.
«The mathematical software
algorithms result in superior
accuracy that is reliable and precise, leveraging over 40 years
of knowledge and expertise since the first standardization unit was launched in 1978.»
At the second stage, the aggregated statistical estimation
of the SASA
algorithms extends such
accuracy to the whole population
of posts, allowing one to properly obtain the opinions expressed on social networks.
The
algorithm used these features to predict depression 70 per cent
of the time — better than the 42 per cent average
accuracy of human doctors.
Using a combination
of the known risk factors for epilepsy and non-epileptic seizures reported in 228 clinical notes the team examined, their
algorithm achieved a diagnosis
accuracy of 65 %.
«We built a simple yet robust machine - learning
algorithm that can identify which video you watched — within a predetermined set
of videos — with a high degree
of accuracy,» Dubin says.
To help them get to this level
of accuracy, both researchers teamed up with Anil Jain, a University Distinguished Professor in computer science and engineering at MSU, to develop a mathematical
algorithm to help classify the fractures.
At the IEEE Conference on Computer Vision and Pattern Recognition this month, they'll present a new
algorithm that can, with roughly 80 percent
accuracy, determine whether a given snippet
of video is playing backward or forward.
«Where we come in is to design the
algorithms that use GPS and other sensors to be able to provide that type
of positioning
accuracy.»
Three months — and $ 30,000
of prize money — later, the winners had produced
algorithms predicting seizures with better than 84 percent
accuracy.
By analyzing tweets and air quality information together, Ram and her collaborators were able to use machine learning
algorithms to predict with 75 percent
accuracy whether the emergency room could expect a low, medium or high number
of asthma - related visits on a given day.
In future work, the researchers would like to improve the
accuracy of their predictions to enhance the rogue wave prediction
algorithms used by NOAA.
Kozlowski tackled that problem computationally; using the popular MATLAB programming environment, she and her colleagues developed an
algorithm that classifies the shapes
of microglia in confocal microscopy images with 90 %
accuracy.
Algorithms such as one developed by Marios Savvides's lab at Carnegie Mellon can analyse features
of a front and side view set
of mugshots, create a 3D model
of the face, rotate it as much as 70 degrees to match the angle
of the face in the photo, and then match the new 2D image with a fairly high degree
of accuracy.
The study to be presented by Jason Talbot, assistant professor
of radiology at the University
of California, San Francisco, involved using semiautomated image analysis with machine - learning
algorithms to assess the
accuracy of axial T2 - weighted radiomic features for classifying patients by degree
of neurologic injury.
The researchers found that their «friendship
algorithm» determined with an extremely high level
of accuracy the reciprocal or unidirectional nature
of a friendship.
In our article, we extensively reviewed the procedures such sites use to build their
algorithms, the (meager and unconvincing) evidence they have presented in support
of their
algorithm's
accuracy, and whether the principles underlying the
algorithms are sensible.
Physicists at the University
of Wisconsin - Milwaukee are using an
algorithm to estimate the time
of conception with much greater
accuracy.
We have a lot
of uninformed consumers
of big data
algorithms that are using tools that haven't been tested for reproducibility and
accuracy.»
The developed control
algorithm can improve
accuracy and stability
of flow regulation in a microfluidic network without requiring any tuning process.
The
algorithm estimates the gradient performing measurements with the green and purple projectors, updates the current estimate
of the state (red line), and repeats until the desired
accuracy is achieved.
When tested on new samples, the
algorithm diagnosed Lyme disease and STARI with an
accuracy of 85 and 92 per cent, respectively.
Machine learning
algorithms can predict failure times
of laboratory quakes with remarkable
accuracy.
Ultimately, I think our work represents an advance over previous
algorithms in terms
of accuracy.»
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.
It is difficult for the standard numerical
algorithms currently adopted by the plasma physics community to meet the long - term
accuracy and fidelity requirement in large - scale numerical studies
of multi-scale, complex dynamics
of plasmas in space and laboratory.
For such bright standard stars with negligible background signal, a simple correction
algorithm with an
accuracy of better than 0.1 % is derived, which eliminates the need to execute the CTE correction code for the complete image.
The researchers are currently testing the
algorithm's
accuracy in a more general population
of men.
BETHESDA, MD — An
algorithm using epigenetic information from just nine regions
of the human genome can predict the sexual orientation
of males with up to 70 percent
accuracy, according to research presented at the American Society
of Human Genetics (ASHG) 2015 Annual Meeting in Baltimore.
If I did the entire sign up process on my own, I would have doubted the
accuracy of my answers and worried about it leading to an off matching
algorithm for my profile.
Yagan touted the
accuracy of OkCupid's
algorithm, claiming that the company knows «quantitatively and anecdotally» that its users find better, more compatible matches on OkCupid than on other dating sites.
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.
The efficiency,
accuracy and reliability
of analytical
algorithms and tools may vary due to market conditions.
The success
of using Models depends on numerous factors, including the validity,
accuracy and completeness
of the Model's development, implementation and maintenance, the Model's assumptions, factors,
algorithms and methodologies, and the
accuracy and reliability
of the supplied historical or other data.
So, we can expect the
accuracy of their weight
algorithm to improve in the near future to match the high level
of accuracy shown throughout the rest
of their testing.
These guys have used these new machine learning techniques to train
algorithms to recognize the artist and style
of a fine - art painting with an
accuracy that has never been achieved before.
The Earth has a synod conjunction with each
of the four major gas planets with a little over a year between impulses, (~ +2 days for Neptune, ~ +4 days for Uranus, ~ +13 days for Saturn, ~ +34 days for Jupiter) these past almost annual periods could be segmented and applied into the composite forecast as an adjustment
algorithm to further enhance the pattern match, to increase the
accuracy (~ 85 %)
of the inner planet 6558 day pattern to closer to 95 % with the addition
of the compensation for the outer planet interactive influences.
A temporally more consistent time series
of sea ice concentrations is provided, offering improved
accuracy over the ice concentration maps created from the original Bootstrap
algorithm.
EDRs are (in general) poorly calibrated, quick - turnaround products that lack long - term repeatability, whereas CDRs are fully calibrated time series having high precision (repeatability) and
accuracy, often requiring reprocessing
of entire data sets as
algorithms are improved (Box 2.1).
It should be noted that this number represents a monthly average and is dependent on a particular passive microwave
algorithm to derive ice concentration (see the CliC Arctic Sea Ice Working Group note on the
accuracy of satellite - derived passive microwave estimates
of sea ice extent).
DISCO said that because
of its native cloud technology it had the advantage
of massive GPU compute - on - demand capabilities to power the latest machine learning technologies and
algorithms, such as Google's Word2Vec and a series
of Convolutional Neural Networks (CNNs), to deliver higher levels
of classification
accuracy «[that are] faster than ever previously seen in the legal space», it claimed.
with 95 percent
accuracy, [to] predict which topics will trend an average
of an hour and a half before Twitter's
algorithm puts them on the list — and sometimes as much as four or five hours before