Exact(2)
Given that the vast majority of the procedures described for gathering training data can easily be automated, it is possible to transform valuable machine learning algorithms into self-evolving learners that benefit from the ever-changing data available for gene products and to develop new machine learning algorithms that are similarly capable.
Given that the vast majority of the procedures described in the literature for gathering training data can easily be automated, it is possible to transform valuable machine learning algorithms into self-evolving learners that use ever-changing data on genes and proteins and to develop new machine learning algorithms that are similarly capable.
Similar(58)
In the past few years, computer scientists have developed new machine learning techniques that allow computers to make genuinely new discoveries, and cognitive scientists have begun to discover that even young children's minds learn in much the same way.
The goal of our research is to reduce TB patient wait times for being diagnosed by developing new machine learning techniques and mobile health technologies.
Given that the vast majority of the procedures described for gathering training data can be easily automated requiring very little, if any, human assistance transforming machine learning algorithms into self-evolving learners that utilize new data on genes and proteins and developing new machine learning algorithms that are similarly capable is worthy of consideration.
In 2008, the Factory of the Future opened on a nearby site to develop new ways to machine materials, mostly for the aerospace industry.
To address these disadvantages it is necessary to develop new approaches for micro machines, micro machine components and new kinematic chains especially adapted to the requirements of micromachining.
Also, great efforts have been made to develop new mechanisms and machines in recent years.
The main aim of this research is to develop new electrical discharge machining (EDM) electrode testing and manufacturing by applying rapid prototyping (RP) and electroforming technologies.
Telefónica, Deutsche Telekom, Vodafone and France Télécom have all established separate business entities or internal centers to develop new products catering to machines.
A number of libraries such as Mahout and SparkMLib have been designed to develop new efficient applications based on machine learning algorithms.
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