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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.
Q. Illustrate program on hypothetical machine? The program given in figure above is a hypothetical program which performs addition of numbers stored from locations 2001 onwards
Q. What do you mean by shopping bots? ANSWER: A shopping bot or buyer agent is an intelligent agent on a Web site that assists you, the customer, search the products and servic
What is data hazard in pipelining? What are the solutions? A data hazard is a situation in which the pipeline is stalled due to the data to be operated on are delayed for some
What is Hashing? Hashing: Hashing gives the direct access of record from the file no matter where the record is in the file. This is possible with the help of a hashing functio
Modular programming denotes to the practice of writing a program as a sequence of independently assembled source files. Every source file is a modular program intended to be assemb
Speedup First, we take the speedup factor which is we see how much speed up performance we achieve by pipelining. First we take ideal case for measuring the speedup. Let n b
As per the JMS specification, when you are in a transaction, the acknowledge Mode is ignored. If acknowledge() is known as within a transaction, it is ignored.
iconic model problem
what is linear model and its type
Associative Array Processing Consider that a list of record or a table is stored in the memory and you want to search some information in that list. For example, the list havin
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