Mathematics, 18.12.2019 22:31 ella3714
Suppose we train a hard-margin linear svm on n > 100 datapoints in r₂, yielding a hyperplane with exactly 2 support vectors. if we add one more datapoint and retrain the classifier, what is the maximum possible number of support vectors for the new hyperplane (assuming the n + 1 points are linearly separable)? select one of: {2, 3, n, n + 1}. optional: draw a case that justifies your answer
Answers: 2
Another question on Mathematics
Mathematics, 21.06.2019 16:00
Areal estate agent earns $32,000 a year plus $1,000 for each apartment he sells. write an equation that shows the relationship between the number of apartments abe sells,n, and the total amount he earns in a year,e. what is the total amount abe would earn from selling 10 apartments in one year
Answers: 3
Mathematics, 21.06.2019 19:30
At the beginning of 1974/75,2 years a man invested #2000 in a bank at 12.5% compound interest, if it degree #650 at the end of each two years to pay his son's school fees, after payment of interest to pay his son's school fees, how much did he have left at the beginning of the 1978/79 school year?
Answers: 3
Mathematics, 22.06.2019 01:30
Add: (6x^2-5x+3) + (3x^3+7x-8) a. 9x^2+12x-5 b. 9x^2+2x+11 c. 9x^2+2x-5 d. 9x^2-2x+5
Answers: 1
You know the right answer?
Suppose we train a hard-margin linear svm on n > 100 datapoints in r₂, yielding a hyperplane wit...
Questions
Health, 28.10.2020 16:30
Mathematics, 28.10.2020 16:30
English, 28.10.2020 16:30
English, 28.10.2020 16:30
Computers and Technology, 28.10.2020 16:30
Mathematics, 28.10.2020 16:30
Business, 28.10.2020 16:30
Computers and Technology, 28.10.2020 16:30
