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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 the differences between macros and subroutines. Macros Vs Subroutines (i) Macros are pre-processor directives which are processed before the source program is pass
State the scope of security policy The scope of security policy depends on aspects such as the size of the Intranet site, type of information hosted on it, and the number of u
Explain the method to identify the Object Classes You would always be careful while identifying relevant object classes from application domain. Objects may include physical e
Declarative programming languages: We notice that declarative programming languages can have some better compensation over procedural ones. Actually, it is often said that a J
projections
define harvard and princeton architecture
Q. Explain types of assembly programs? Assembly language programs can be written in two manners: COM Program: Having all segments as part of one segment EXE Program: that hav
Instruction Level It refers to the condition where different instructions of a program are implemented by different processing elements. Most processors have numerous execution
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
A circuit can be designed to perform manydifferent functions e.g.a circuit has 3 inputs A, B and C and 3 outputs:Output X is logic level 1 (or 'high') if one or moreinputs are at l
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