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Machine Learning and Learning from Machines
Progress’19, 2019Summary Deep learning has demonstrated tremendous success in a variety of application domains in the past few years, and with some new modalities of applications it continues to open new opportunities. We see applications of machine learning in our daily lives, stretching from familiar applications such as spam filters dating back to the 1990s to more ...
A. Kozhenkov, E.Z. Naeini, K. Prindle
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Learning molecular machines by machine learning
Eurasian Journal of Science Engineering and TechnologyProteins, often referred to as molecular machines, are essential biomolecules that perform a wide range of cellular functions, typically by forming complexes. Understanding their three-dimendional (3D) structures is key to deciphering their functions.
Rumeysa Hilal Çelik +3 more
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1999
The usefulness and feasibility of automatically training a syntactic wordclass tagger instead of hand-crafting it motivated a large body of work on statistical and rule-learning approaches to the problem. Syntactic wordclass taggers trained on corpora are claimed to be equally accurate as, and more robust and more portable than, hand-crafted systems1 ...
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The usefulness and feasibility of automatically training a syntactic wordclass tagger instead of hand-crafting it motivated a large body of work on statistical and rule-learning approaches to the problem. Syntactic wordclass taggers trained on corpora are claimed to be equally accurate as, and more robust and more portable than, hand-crafted systems1 ...
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Natural Language Processing and Computational Linguistics
Scientific Machine Learning implements the science-of-counting to analytically process any time-series and produce a complete set of thermodynamic measurements that define the state of the system. The scientific measurements are illustrated with a time-series of closing-prices for a stock (GE).
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Scientific Machine Learning implements the science-of-counting to analytically process any time-series and produce a complete set of thermodynamic measurements that define the state of the system. The scientific measurements are illustrated with a time-series of closing-prices for a stock (GE).
openaire +1 more source