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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.
Propositional Logic: This is a fairly restrictive logic, that allows us to be write sentences about ¬propositions - statements about the world - that can either be true or
Q. Explain Time Complexity in Parallel algorithms? As it takes place nearly everyone who implement algorithms wish to know how much of an individual resource (for example time
Explain difference between macro call and macro expansion. Macro expansion: While a macro name is used along with a set of actual parameters this is replaced through a code g
can i get a prepared ppt for this topic to present it in a seminar??
Granularity In 'Parallel computing', Granularity can be defined as a qualitative assess of the ratio of computation to communication. 1) Coarse Granularity - relatively hug
Q. Explain about Registers? A register is a group of flip-flops that store binary information and gates that controls when and how information is transferred to register. An n-
Determine the basic Machine language instructions Machine language instructions and data are in terms of 0s and 1s and are stored in the memory. It isn't possible to distinguis
why they are essential in a bus oriented system? Ans) In a multiplexed bus system, many devices are linked to a common bus. If 2 or more devices attempt to use the bus at the si
what is er diagram
Optical mark recognition (OMR) OMR technology scans a printed form and reads pre-defined positions (where specific fields have been filled in for instance ?-?or _); system re
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