In Naive Bayes, we use probabilities of particular features values rather than calculating the probability of the Evidence as a whole. We do this because we assume that there will be many occurrences of each e_i. However, if those occurrence counts are small (or zero!) our probabilities are likely to be underestimated. We've seen this problem before in other methods for class probability estimation. Use the same correction method to calculate an estimated p(e_i) given that the count of e_i in your training data is just 1 out of the 1000 training examples.

a

explanation:

the numbe rof computers would affect the strength of network

the printer can be used in a both wired and wireless network, only one of the connection methods can be used at one time when the wireless setting is enabled, the wired (ethernet) setting is disabled.

but first you need to

`connect the cord to your computer

`open settings app from the start menu

`click devices

`than click add printer or scanner

and than you should be able to do it from there, if not let me know i can you! : )

the correct answer is "part of speech" if the portion used is "verb, noun" there is another question similar to this with the same question but different portion. the other portion is "hand write" and the correct component for that question is "antonym".

hope this . : )