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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.
Explain briefly about demultiplexers?
Q. What is Compact Disk ROM? Both audio CD and CD-ROM (compact disk read-only memory) share similar technology. Main difference is that CD-ROM players are more rugged and have
The current 32 and 64 bit machines can represent integers of around 9 digits and 30 digits respectively, while various scientific and mathematical applications have to represent in
Purpose of storage: Several different forms of storage, based on different natural phenomena, have been invented. So far, no practical universal storage medium persists, and a
Could TCP allow IP to checksum the data? TCP cannot permit IP to checksum data yet IP has its own checksum for its header. IP layer is fundamentally responsible for routing of
TRANSFORMATION - THE PROCESS OF CHANGE Much of contemporary art and design practice and indeed popular culture is dedicated to looking at how change affects us as individuals a
The conflict between too hot and too cold or too slow and too fast can be resolved using don't care states. Don't care states are used when i) the state of the output is not
can i get a prepared ppt for this topic to present it in a seminar??
Mainframe computer Mainframe computers are very large, often can fill an entire room. They can store a large amount of information, can execute many tasks at the same time, can
Q. Which things should microprocessor validate? A microprocessor should validate: Powerful addressing modes More addressing capability More throughput Po
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