Εισάγετε μια λέξη ή φράση σε οποιαδήποτε γλώσσα 👆
Γλώσσα:
Μετάφραση και ανάλυση λέξεων από την τεχνητή νοημοσύνη ChatGPT
Σε αυτήν τη σελίδα μπορείτε να λάβετε μια λεπτομερή ανάλυση μιας λέξης ή μιας φράσης, η οποία δημιουργήθηκε χρησιμοποιώντας το ChatGPT, την καλύτερη τεχνολογία τεχνητής νοημοσύνης μέχρι σήμερα:
- πώς χρησιμοποιείται η λέξη
- συχνότητα χρήσης
- χρησιμοποιείται πιο συχνά στον προφορικό ή γραπτό λόγο
- επιλογές μετάφρασης λέξεων
- παραδείγματα χρήσης (πολλές φράσεις με μετάφραση)
- ετυμολογία
Τι (ποιος) είναι REGULARIZATION - ορισμός
Regularization (physics)
PROCEDURE TO RENDER FINITE INFINITE INTEGRALS ARISING IN PERTURBATION THEORY
In physics, especially quantum field theory, regularization is a method of modifying observables which have singularities in order to make them finite by the introduction of a suitable parameter called the regulator. The regulator, also known as a "cutoff", models our lack of knowledge about physics at unobserved scales (e.
Regularization (linguistics)
IN LINGUISTICS, REPLACEMENT OF IRREGULAR FORMS BY REGULAR ONES
Overregularization
Regularization is a linguistic phenomenon observed in language acquisition, language development, and language change typified by the replacement of irregular forms in morphology or syntax by regular ones. Examples are "gooses" instead of "geese" in child speech and replacement of the Middle English plural form for "cow", "kine", with "cows".
Manifold regularization
![Manifold regularization can classify data when labeled data (black and white circles) are sparse, by taking advantage of unlabeled data (gray circles). Without many labeled data points, [[supervised learning]] algorithms can only learn very simple decision boundaries (top panel). Manifold learning can draw a decision boundary between the natural classes of the unlabeled data, under the assumption that close-together points probably belong to the same class, and so the decision boundary should avoid areas with many unlabeled points. This is one version of [[semi-supervised learning]].](https://commons.wikimedia.org/wiki/Special:FilePath/Example of unlabeled data in semisupervised learning.png?width=200 "Manifold regularization can classify data when labeled data (black and white circles) are sparse, by taking advantage of unlabeled data (gray circles). Without many labeled data points, [[supervised learning]] algorithms can only learn very simple decision boundaries (top panel). Manifold learning can draw a decision boundary between the natural classes of the unlabeled data, under the assumption that close-together points probably belong to the same class, and so the decision boundary should avoid areas with many unlabeled points. This is one version of [[semi-supervised learning]].")
![A two-dimensional [[manifold]] embedded in three-dimensional space (left). Manifold regularization attempts to learn a function that is smooth on the unrolled manifold (right).](https://commons.wikimedia.org/wiki/Special:FilePath/Swissroll manifold unrolled.png?width=200 "A two-dimensional [[manifold]] embedded in three-dimensional space (left). Manifold regularization attempts to learn a function that is smooth on the unrolled manifold (right).")
In machine learning, Manifold regularization is a technique for using the shape of a dataset to constrain the functions that should be learned on that dataset. In many machine learning problems, the data to be learned do not cover the entire input space.
Παραδείγματα από το σώμα κειμένου για REGULARIZATION
1. III. Assessment 1. Economic Analysis The Property Regularization Project has an economic rate of return (ERR) of 2' percent.
2. Karkare, however, said the police would apply to the Greater Mumbai Municipal Corporation for regularization of the outposts and would demolish them if permission was denied.
3. If permission for regularization is denied, the police would demolish the outposts and remove the names of sponsors within a month, he said.
4. The workers also demand the regularization of their presence in the Kingdom by renewing their iqamas which expired a few months ago.
5. The President said the policy of privatization, liberalization and de–regularization will continues to be pursued as the three factors are the backbone of the process of economic revival in the country.