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Appropriate Problems for Decision Tree Learning - Artificial intelligence
It is a expert job in AI to select accurately the right learning representation for a particular learning job. As convoluted by Tom Mitchell, decision tree learning is best suited to problems with these characteristics:
In addition to that, decision tree learning is robust to mistakes in the data. In particular, it will act well in the light of (i) mistakes in the categorization occurrences given (ii) errors in the features-value pairs provided and (iii) missing values for fix features for fix examples.
Problem 1 Prove that :- x(x + y) = x by using identities 2 Write a short note on Analog to Digital Converter (ADC) 3 Differentiate between sequential and combinational ci
explan volage triper and voltage quadrupler.
Propositional Inference Rules -Artificial intelligence : Equivalence rules are specifically useful because of the vice-versa aspect,that means we can discover forwards andbackw
Microprocessor is a program-controlled device, which fetches the instructions from memory, decodes and implements the instructions. Most Micro Processor is single- chip devices.
Implementation of Arithmetic Circuits for Arithmetic Micro-operation An arithmetic circuit can be implemented by a number of full adder circuits or parallel adder circuits. F
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Q. Code Density and Smaller Faster Programs? Memory was very expensive in older computer. So there was a need of less memory utilization, which is it was cost effective to have
Logic-based Expert Systems - Artificial intelligence: Expert systems are agents which are programmed to make decisions about real world situations. They are put together by uti
Which loader is executed when a system is first turned on or restarted? Ans. Bootstrap loader executed while a system is first turned on or restarted.
Accessing a Cache: Direct mapping: (Block address) modulo (Number of cache block in the cache) The valid bit indicate whether an entry contain a valid address.
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