In addition, we relied on the work of O'brien (2007) to mitigate the issues that can derive from the multi-collinearity of independent variables. To this purpose, we compared the results of different classification techniques. Specifically, in our study, we address this problem by applying the...
# Launch the graphwith tf.Session()assess: sess.run(init) #inits the variables (normal distribution, remember?) # Training cycleforepochinrange(training_epochs): avg_cost =0.total_batch = int(len(newsgroups_train.data)/batch_size) # Loop over all batchesforiinrange(total...
The inheritance relationship between classes also suggests another relation-ship. If class B inherits from class A, it will necessarily have at least all the variables and methods that class A has.Therefore,whenever we require an in-stance of class A,an instance of class B would do equally we...
FIG. 2 shows a device101as viewed by a person using device101to engage with a digital media sharing platform. Specifically, device101includes a display125that can present interaction tools. As shown in FIG. 2, display125presents a screen or form that a person can use to register with a me...
templates, data structures, database tables, repositories storing dynamic information, and any other appropriate information including any parameters, variables, algorithms, instructions, rules, constraints, or references thereto. Additionally, the memory may include any other appropriate data, such as logs...
variables, algorithms, instructions, rules, constraints, or references thereto associated with the purposes of the server102and its one or more hosted applications114. For example, memory117may store a word matrix120that includes nodes containing terms and links defining a semantic proximity and/or ...
data structure of a variable may or may not include the number of bits of the corresponding fingerprint), or the like. As used herein, a variable can include a corresponding data structure and can comprise one or more variables that can change value, remain constant, or a combination thereof...
𝑚m : number of variables/parameters; 𝑋𝑖𝑘Xik : data object 𝑖i on data 𝑘k variable; and 𝑋𝑗𝑘Xjk : data object 𝑗j on data 𝑘k variable. 2.3.2. Random Forest (RF) Particularly effective in classification, regression, and unsupervised learning [67], Random...
Exploratory data analysis was performed by Principal Component Analysis (PCA) with Unscrambler X (CAMO software, version 10.4), in order to visualize the discrimination of the two types of samples (in the score plots) and the spectral variables to which this separation is related (in the loading...
𝑚m : number of variables/parameters; 𝑋𝑖𝑘Xik : data object 𝑖i on data 𝑘k variable; and 𝑋𝑗𝑘Xjk : data object 𝑗j on data 𝑘k variable. 2.3.2. Random Forest (RF) Particularly effective in classification, regression, and unsupervised learning [67], Random...