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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.
Question : a) Hard disk is an important component of a computer. What type of memory is it? b) With the help of a diagram describe its features. c) Explain its working pr
Standard typewriter : You must have seen this manually operated machine. Standard typewriters of various makes such as Remington, Fact, Godrej, etc., are available in the market.
What are the issues of software development One of main issues in software development today is quality. Software must be properly documented and implemented. The notion of sof
Minimum possibility -minimax algorithm: Finally, we want to put the scores on the top edges in the tree. So there is over again a choice. Whenever, in this case, we have to r
WhT is pollymara
Describe a interface 'Human' with methods as walk' and 'speak'. Describe a class 'User' implementing 'Human'. Describe a work() method in User class.Add a class 'Person' also execu
Question: (a) There are several camera angles that can be used to make a sequence more interesting for a video production project. Explain clearly, using diagrams where appro
Objectives of object oriented analysis After going through this unit, you should be able to: define the concepts of the objects in the system; express desired syste
What is model? A universe together with an assignment of relations to relation symbol is known as a model. A model M is a tuple (U, P1, P2..Pk), where U is the universe and P
i want the matlab code for the following events 1. face detection 2. video to frame conversion 3.video shot boundary detection
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