Examples of using Classifications in English and their translations into Marathi
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Ecclesiastic
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Computer
These classifications are not an end;
First, the researchers“cleaned” the data by removing bogus classifications.
(2010) used the Galaxy Zoo classifications to train a machine learning model to do galaxy classification.
First, the researchers“cleaned” the data by removing bogus classifications.
The simplest way to combine classifications for each galaxy would have been to choose the most common classification.
Second, after cleaning,the researchers needed to remove systematic biases in classifications.
In a General,hydraulic motors are placed into one of two classifications: high speed, low torque(HSLT) or low speed, high torque(LSHT).
Second, after cleaning,the researchers needed to remove systematic biases in classifications.
Thus, the volunteers, in aggregate,were able to provide high-quality classifications and at a scale that the researchers could not match(Lintott et al. 2008).
If this approach does not scale well, theresearcher can move to a human computation project where many people contribute classifications.
Finally, the machine learning is used to estimate classifications for the remaining galaxies.
For example, people who repeatedly classified the same galaxy- something that would happen ifthey were trying to manipulate the results- had all their classifications discarded.
Thus, the volunteers, in aggregate,were able to provide high quality classifications and at a scale that the researchers could not match(Lintott et al. 2008).
For example, people who repeatedly classified the same galaxy- something that would happen if they were trying to manipulate the results-had all their classifications discarded.
The SAP FICO module incorporates 2 noteworthy classifications of usefulness expected to run the money related records of an organization- Financials(FI) and Controlling(CO).
Building on Galaxy Zoo, the researchers completed Galaxy Zoo 2 which collected more than60 million more complex morphological classifications from volunteers(Masters et al. 2011).
These 100,000 volunteers contributed a total of more than 40 million classifications, with the majority of the classifications coming from a relatively small, core group of participants(Lintott et al. 2008).
Because very similar challenges arise in most human computation projects, itis helpful to briefly review the three steps that the Galaxy Zoo researchers used to produce their consensus classifications.
At that point,researchers need to build second-generation systems where human classifications are used to train a machine learning model that can then be applied to virtually unlimited amounts of data.
It is now generally accepted that the languages Shafer placed in the first three subgroups are all descended from Old Tibetan, and should be combined as a Tibetic subgroup, with the East Bodish languages as asister subgroup.[3] More recent classifications omit Rgyalrongic, which is considered a separate branch of Sino-Tibetan.
Together, these 100,000 volunteers contributed a total of more than 40 million classifications, with the majority of the classifications coming from a relatively small, core group of participants(Lintott et al. 2008).
Thus, after a three step process- cleaning, debiasing, and weighting- the Galaxy Zoo research team had converted 40 million volunteer classifications into a set of consensus morphological classifications.
Using her features, her model, and the consensus Galaxy Zoo classifications, she was able to create weights on each feature, and then use these weights to make predictions about the classification of galaxies.
When these Galaxy Zoo classifications were compared to three previous smaller-scale attempts by professional astronomers, including the classification by Schawinski that helped to inspire Galaxy Zoo, there was strong agreement.
This medicine comes under a classification of Gonadotropin releasing hormone abbreviated as GnRH.
The tables below indicate the classification of the Rashis and the Nakshatras into four Varnas.
The Classification and Subject Cataloging Policy( CSCP) Advisory Working Group.
This classification is necessary is.
Classification of income and expenses by categories.
Despite its classification as a Schedule III controlled substance, this steroid continues to be one of the most popular steroids.