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Consider the data with categorical predictor x1 = {green or red} and numerical predictor x2 and the class variable y shown in the following table. The weights for a round of boosting are also shown in the table. Suppose the classifier built from this round of boosting assigns y = 1 for x2 < 0.45 and y = -1 for x2 > 0.45. Compute the coefficient α for this classifier in the adaboost algorithm.
What are the types of convergences? Three different types of convergences are: a. The convergence of wireless and e-commerce technology b. The Convergence of E-Commerce a
Disadvantages 1. The X12 standard is so large and general 2. EDI communications negotiate a technical agreement to explain exactly what subset of EDI they will use
Unencoded micro-instructions One bit is required for each control signal; so number of bits needed in a micro-instruction is high. It represents a detailed hardware vi
Categorized Optimization transformations The structure of program and the way in that data is defined and used in this provide vital clues for optimization. Optimization t
In this model a one process can have multiple, concurrent implementations paths. The major programs are scheduled to run by the native operating system. It loads and obtains all th
What is Error detection code? It is a binary code that notice digital errors during transmission. The detected errors cannot be correct but the presence is shown.
What are problems of clock skew? This is typically because of two causes. The primary is a material flaw that causes a signal to travel faster or slower than imagined. The seco
Virtual Memory is a way of extending a computer's memory by using a disk file to replicate add'l memory space. The OS remain track of these add'l memory addresses on the hard disk
a c program to implement multiple stack in a single array
data floe diagrams for web conferencing
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