Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Arbitrary categorisation - learning decision trees:
Through visualising a set of boxes with some balls in. There if all the balls were in a single box so this would be nicely ordered but it would be extremely easy to find a particular ball. Moreover If the balls were distributed amongst the boxes then this would not be so nicely ordered but it might take rather a whereas to find a particular ball. It means if we were going to define a measure based at this notion of purity then we would want to be able to calculate a value for each box based on the number of balls in it so then take the sum of these as the overall measure. Thus we would want to reward two situations: nearly empty boxes as very neat and boxes just with nearly all the balls in as also very neat. However this is the basis for the general entropy measure that is defined follows like:
Now next here instantly an arbitrary categorisation like C into categories c1, ..., cn and a set of examples, S, for that the proportion of examples in ci is pi, then the entropy of S is as:
Here measure satisfies our criteria that is of the -p*log2(p) construction: where p gets close to zero that is the category has only a few examples in it so then the log(p) becomes a big negative number and the p part dominates the calculation then the entropy works out to be nearly zero. However make it sure that entropy calculates the disorder in the data in this low score is good and as it reflects our desire to reward categories with few examples in. Such of similarly if p gets close to 1 then that's the category has most of the examples in so then the log(p) part gets very close to zero but it is this that dominates the calculation thus the overall value gets close to zero. Thus we see that both where the category is nearly - or completely - empty and when the category nearly contains as - or completely contains as - all the examples and the score for the category gets close to zero that models what we wanted it to. But note that 0*ln(0) is taken to be zero by convention them.
What are the different kinds of lock modes? There are three types of lock modes:- Shared lock Exclusive lock. Extended exclusive list.
What is a Priority Interrupt? Ans: A priority interrupt is a type of interrupt that establishes a priority over the many sources to determine which condition is to be serviced
With reference to telephone traffic, explain the terms BHCA. BHCA: The number of call attempts in the busy hour is termed as busy hour call attempts (BHCA) that is an importa
The do while Loop This is very similar to the while loop except that the test occurs at the end of the loop body. This guarantees that the loop is executed at least once before
What are the central interfaces of the R/3 system? There are three central interfaces:- Presentation Interface. Database Interface. Operating system Interface.
Explain the raster scan monitors The refresh process must also be performed for raster scan monitors. Most television monitors are raster scan display devices : one scan-line a
Voice Identifier - Biometric Computer Security Systems Besides fingerprint, another popular security technology is voice identifier. According to VSS organization (2007), voic
Back propagation Learning Routine - Aartificial intelligence As with perceptrons, the information in the network is stored in the weights, so the learning problem comes down to
APIs are proprietary programming interfaces supported by certain platforms. By using an API, you lose all portability. If you know your application will only ever run on single pla
Your task is to program software agents able to send and receive messages according to the two Gnutella protocols above. Your solution should have two types of agents: A
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd