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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.
Process: pid start time end time priority timeslice list of CPU bursts list of IO bursts (the number of IO burst will always be 1 less than the number of CPU
SubProgram or Procedure Level This level consists of subroutines, procedures or subprograms. Average grain size is used at this level containing various thousands of instructio
what is opcode for addition and subtraction
Explain about Magnetic tape a) They are mostly used for keeping files of data b )It is one of the cheapest and slowest methods for storage
Optimality - Heuristic search strategies: The path cost of a solution is considered as the sum of the costs of the actions that led to which solution is given. This is only on
What is full form of BDC Session? Batch Data Communication Session.
Flynn's Classification Flynn's classification is based on multiplicity of data streams and instruction streams observed by the CPU during program execution. Let Ds and Is are
What do you mean by best fit? Best fit allocates the smallest hole that is big enough. The whole list has to be searched, unless it is sorted by size. This method makes the sm
8:1 Mux for a given function, f=S (0, 1,5,7,9, 13)..
What is priority interrupt? A priority interrupt is an interrupt that establishes a priority over the various sources to verify which condition is to be serviced first when two
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