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.

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References in periodicals archive

* Topic-Similar_BugReports are extracted and input into the Naive Bayes Multinomial algorithm.

Applying Topic Modeling and Similarity for Predicting Bug Severity in Cross Projects

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].

Deciding on Null Hypotheses using P-values or Bayesian alternatives: A simulation study

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).

Measurement of Social Capital through Data Mining Techniques at Universidad ECCI/Medicion de Capital Social en la Universidad ECCI a traves de Tecnicas de Mineria de Datos

[[??].sup.2.sub.t(Bayes)] = 0.0303 + 0.0951[[epsilon].sup.2.sub.t-1] + 0.8854[[sigma].sup.2.sub.t-1] (9)

Volatility modeling of the JSE all share index and risk estimation using the Bayesian and frequentist approaches

The first stage is to apply Naive Bayes algorithm and classifies the preprocessed data sets.

Integrating heterogeneous agriculture information using naive Bayes and FCA

This paper attempted to study the Naive Bayes algorithm's performance for dataset of different sizes.

CAN MULTIPLE MODELS IMPROVE BAYESIAN'S PERFORMANCE? AN INVESTIGATION USING MCNEMAR'S TEST