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  • Naive Bayes Classification in Machine Learning
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    nbsp 0183 32 In Machine Learning Naive Bayes models are a group of high-speed and simple classification algorithms that are often suitable for very high-dimensional datasets Because they are so fast and have so few tunable parameters they end up being very useful as a...

  • Deep learning
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    nbsp 0183 32 Although EEG has proven to be a critical tool in many domains it still suffers from a few limitations that hinder its effective analysis or processing First EEG has a low signal-to-noise ratio SNR 23 86 as the brain activity measured is often buried under multiple sources of environmental physiological and activity-specific noise of similar or greater amplitude called artifacts...

  • Using AI to find where the wild things are
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    nbsp 0183 32 On average human experts can label 300 to 1 000 images per hour With the help of Google AI Platform Predictions Wildlife Insights can classify the same images up to 3 000 times faster analyzing 3 6 million photos an hour To make this possible we trained an...

  • Failures and a concept of corrosion protection system for
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    nbsp 0183 32 A novel method of selectively enriching and separating rare earth elements from rare-earth concentrate under super gravity Miner Eng 133 2019 pp 27-34 10 1016/j mineng 2019 01 010...

  • Named Entity Recognition and Normalization Applied to
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    nbsp 0183 32 Our classifier achieves an accuracy f 1 of 87 and is applied to information extraction from 3 27 million materials science abstracts We extract more than 80 million materials-science-related named entities and the content of each abstract is represented...

  • Stellar classification
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    nbsp 0183 32 The Yerkes spectral classification also called the MKK system from the authors initials is a system of stellar spectral classification introduced in 1943 by William Wilson Morgan Philip C Keenan and Edith Kellman from Yerkes Observatory This two-dimensional temperature and luminosity classification scheme is based on spectral lines sensitive to stellar temperature and surface gravity...

  • Predicting host taxonomic information from viral genomes
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    nbsp 0183 32 We used the holdout classifier for the host label Bacillales and holdout group Siphoviridae The results for the single kernel classifiers were DNA_9 = 0 91 AA_4 = 0 85 PC_6 = 0 59 Domains = 0 86 A summary showing the results for each classifier grouped...

  • How Do Scientists Classify Organisms
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    nbsp 0183 32 The Classification of Living Things is a type of taxonomy To use it scientists match an organism to the proper subgroup starting at the top with Kingdom and working down to Species Kingdom - determined based on how a living organism obtains its food Phylum - divides organisms within a kingdom based on physical similarities which suggest a common ancestry...

  • The 5 Most Useful Techniques to Handle Imbalanced
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    nbsp 0183 32 For example in a random forest classifier using class_weights we can specify a higher weight for the minority class using a dictionary from sklearn linear_model import LogisticRegression clf = LogisticRegression class_weight= 0 1 1 10...

  • Characterization and evaluation of discarded hard disc
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    nbsp 0183 32 On the other hand limited supply of rare earth can be met with the recovery of secondary resources such as NdFeB magnets Other than Cu and RE from PCB and magnet HDD can be used to recover various other valuable elements from different components such as read-write head Au Cr Ni Al disc platter Al Ta Co Ru connection teeth Au Cu Ni Sn and HDD casing Al Fe after...

  • Machine Learning in Volcanology A Review IntechOpen
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    nbsp 0183 32 A volcano is a complex system and the characterization of its state at any given time is not an easy task Monitoring data can be used to estimate the probability of an unrest and/or an eruption episode These can include seismic magnetic electromagnetic deformation infrasonic thermal geochemical data or in an ideal situation a combination of them Merging data of different origins is...

  • Miller Time Sepor Inc
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    nbsp 0183 32 Sepor Inc began business in 1953 with the introduction of the Sepor Microsplitter a Jones-type Riffle splitter developed by geologist Oreste Ernie Alessio for his own use in the lab Sepor grew over the next several decades to offer a complete line of mineral...

  • Denaʼina language
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    nbsp 0183 32 Denaʼina /dɪˈnaɪnə/ also Tanaina is the Athabaskan language of the region surrounding Cook Inlet It is geographically unique in Alaska as the only Alaska Athabaskan language to include territory which borders salt water Four dialects are usually distinguished Upper Inlet spoken in Eklutna Knik Susitna Tyonek Outer Inlet spoken...

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