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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.
about nano memory
Binary Search Now that the basic framework is working, it is time to begin implementing a few alternative search functions. Each of these search algorithms have strengths and
A data set with 1000 rows is input to a neural network in Weka. The test option is set to 10-fold cross validation and the neural network option validationSetSize = 20%. How many r
Levels Of Parallel Processing Depending upon the difficulty under consideration, parallelism in the answer of the problem may be achieved at dissimilar levels and in different
Why EPROM chips are mounted in packages that have transparent window? Since the erasure needs dissipating the charges trapped in the transistors of memory cells. This can be co
Explain how SAP GUI handles output screen for the user. The SAP front-end s/w can either run on the similar computer or on dissimilar computers given for that purpose. User t
What is an interrupt? An interrupt is an event that causes the implementation of one program to be suspended and another program to be implemented.
Non-Uniform Memory Access Model (NUMA) In shared memory multiprocessor systems, local memories are able to be connected with every processor. The collection of all local
What are the differences between struts and units? A warm up question. Units are static objects that exist from the start of the simulation right up to its end, whereas struts
Program counter and Stack pointer all have 16 bits.
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