Suppose a hard margin linear SVM classifier has been trained on a linearly separable 2D data and a horizontal decision boundary WTX + b = 0 has been found that passes through the origin. Weight vector W has 3 elements w0, w1, w2 such that w0 + w1x1 + w2x2 = 0 Which set of values is a correct assignment to the weight vector to characterize the decision boundary of this SVM classifier? w0=1 w1=0 w2=-1 w0=0 w1=1 w2=-1 w0=1 w1=-1 w2=1 w0=0 w1=0 w2=1

19.

step-by-step explanation:

you add the 9 in the tens column since it is a single digit and 9 plus zero is 9 so it is 19

5x+2x=49

7x=49

x=7. 35 apples

black/brown

step-by-step explanation:

well, you see here, jamal was born to 2 parents, his mother who he lives with and his father who left at a young age and who happens to be younger than him. he stole cookies because he has to steal food due to the fact that he spends his government poverty checks on pot and women.