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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.
OLAP is called as online analytical processing which gives answers to queries which are multi dimensional in nature. It composes relational reporting and data mining for giving sol
Q. What is Gate? Explain Basic gates with truth table and necessary circuits. Q. Which gates are called Universal Gates? Why? Q. Give the Dual of the rule 17. Q. Realize
Associativity of Connectives: In order to tell us brackets are useful when to perform calculations in arithmetic and when to evaluate the truth of sentences in logic. Imagine w
What is difference between collaboration on task and event management? Web-based task management application let the user handle the multiple pieces and parts of large projects
? Activities: An activity shows an action that performed in the system. ? Transitions: Transitions are shown by open arrow heads. Transitions are used to specify the flow among
Sigmoid units - Artificial intelligence Remember that the function inside units take as input the weighted sum, S, of the values coming from the units associated to it. The fun
a. Explain Standard Streams and file streams. Differentiate among two types of stream. b. Write a program in C++ that inputs characters from the keyboard and prints them in reve
What is a semaphore? Semaphore: It is a protected variable or abstract data type that constitutes the typical method for restricting access to shared resources as shared memo
Subtraction of 0011.1001 - 0001.1110 using 2's complement method Ans. Firstly 1's complement of 0001.1110 is 1110.0001 and 2's complement is 1110.0010. If a last carry
I did not see an option related to machine learning. so i selected computer engineering. Use different datasets such as: paintings by Picasso, Van Gogh, DaVinci
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