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BAY. Is an enclosure to keep in the water for the supply of a mill or other contrivance, so that the water may be able to, drive the wheels of such mill. Stat. 27 Eliz. c. 19.
     2. A large open water or harbor where ships may ride, is also called a bay; as, the Chesapeake Bay, the, Bay of New York.

References in periodicals archive ?
* We compare our approach with the Naive Bayes Multinomial approach; the Lamkanfi methodology, which is a well-known severity prediction approach; and an emotional similarity-based bug severity approach.
Our objective is to compare the decisions about the null hypothesis by using the p-value at different classically applied cut-offs with the BIC-based and p-value based Bayes factors described above (we are not interested in the epistemological discussion about the truth of the null hypothesis but the interested reader can find some reflections about it in Cohen, 1994; Gallistell, 2009, or Orlitzky, 2013).
Results Premier Division: Billingham The White House 3 (CHRISTOPHER ATKINSON, NATHAN BAYES 2) Billingham The Merlin 2 (DAVID ROTH, NATHAN BAYES 2, SPENCER NICHOLSON), Norton Red Lion 6 (BRADLEY MURRAY 2, CHRISTIAN SELBY, JOSH DOWSLAND 2, RYAN WATSON) Billingham Cowpen Club 0, Thornaby Oddfellows 4 (ARRON BROOKBANKS 3, BENJAMIN KERRY) Hardwick Social Club 5 (CHARLIE RABY, CHRISTOPHER STOCKTON, STEVEN ROBERTS, TONY JOHNSON 2).
The Bayes algorithm and the SVM algorithm have been used as comparison algorithms.
We choose the KNN, SVM, and Naive Bayes as the base classifier because they are implemented simply and diagnose breast cancer effectively.
The general Bayesian classifier is a kind of classification algorithm that is based on Bayes' theorem.
The theory that would not die: how Bayes' rule cracked the enigma code, hunted down Russian submarines and emerged triumphant from two centuries of controversy.
This is a technique which takes as primary source that of the Thomas Bayes theorem, which can predict the probability of a case belonging to a given class; this method is based on the probability theory, uses frequencies to calculate conditional probabilities and, thus, generate predictions on new cases.
Combining the joint prior and the likelihood function using Bayes theorem we get the following posterior distribution
In the second half, good work by Bayes and Hebb resulted in Junior Masandi breaking clear and poking home from close range.