# bay

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## bay

(1) The smallest rentable tenant space in a strip center, usually defined by the front and rear exterior walls and fire walls at either side.(2) An unfinished area between rows of columns or loadbearing walls. (3) Loading areas in warehouse or industrial space. Ascertaining the number of bays necessary and available is usually critically important when working with buyers or potential tenants of such space.

The Complete Real Estate Encyclopedia by Denise L. Evans, JD & O. William Evans, JD. Copyright © 2007 by The McGraw-Hill Companies, Inc.
References in periodicals archive ?
* Topic-Similar_BugReports are extracted and input into the Naive Bayes Multinomial algorithm.
A closer look to the behaviour of both Bayes Factor estimations (Table 2) reveals that the BIC-based estimation tends to favour the [H.sub.0] against the [H.sub.1] when the p-value calibration finds substantial, strong, very strong or decisive evidences for [H.sub.1].
It can be seen that Bayes algorithm takes the least time, and the decision tree algorithm takes more time than Bayes.
Caption: FIGURE 2: The ROC of the KNN, SVM, and Naive Bayes compared with the integrated classifiers on ultrasound images.
(3) Thus, using Bayes' theorem, the conditional probability can be decomposed as
Some software tools support data mining processes, allowing management of large volumes of data, which is the case of Weka--developed in Waikato in New Zealand and which in this study shows results of the process of the Naive Bayes and C4.5 algorithms (denominated J48 in the Weka tool).
[[??].sup.2.sub.t(Bayes)] = 0.0303 + 0.0951[[epsilon].sup.2.sub.t-1] + 0.8854[[sigma].sup.2.sub.t-1] (9)
The first stage is to apply Naive Bayes algorithm and classifies the preprocessed data sets.
In order to solve this problem, in consideration of the correlation between the total emergency loss and the delay of the emergency supplies, the total loss Bayes risk function of the disaster area is formulated.
This paper attempted to study the Naive Bayes algorithm's performance for dataset of different sizes.

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