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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 is dialog Module? A dialog Module is a callable sequence of screens that does not belong to a certain transaction. Dialog modules have their module pools, and can be know
Q. Explain about Deadlock Avoidance? To prevent deadlocks two kinds of techniques are used: 1) Static prevention: It employs P and V operators in addition to Semaphores to
The combination of an IP address and a port number is known as a socket.
Update -task updates are Asynchronous updates.
Summary of Tasks Task Summary attempts to show amount of duration every task has spent starting from beginning of task until its completion on any processor as displayed in Fi
Over fitting Considerations - artificial intelligence Left unexamined , back propagation in multi-layer networks may be very susceptible to over fitting itself to the
Introduction to object oriented Analysis & design: tools In case of OOAD, Unified Modelling Language (UML) is a well accepted language. It is used for constructing, visualizin
Question 1: Spreadsheet packages are widely used in Business. a) Explain why spreadsheets are so useful. b) Spreadsheet files are sometimes saved for use by other software p
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
Question: (a) Briefly explain how the functionality of the WWW has been enhanced, after its birth at CERN site. Use examples to illustrate your answer. (b) Many modern com
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