ISYE 6501 Midterm with 100% correct answers

What does SVM stand for? Support Vector Machine Is written text structured or unstructured? Unstructured 00:45 01:24 When we increase the sum of the square of the coefficients we... Decrease the distance between the lines In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ margin and errors If lambda gets small what gets emphasized, large margin or minimizing training error?, Minimizing errors. What is a support vector? A point that holds up a shape. Does ...[⅔(a-1)+1/3(a+1)] move an SVM classifier up or down? Up How do you make errors more costly in a soft SVM classifier? include a multiplier for the point-error term. If an SVM coefficient is very close to zero... that term is not very important to the classification. What is the difference between standardization and scaling? Scaling is bounded in range. Standardization is scaling to a normal distribution. Standardization is the (value - factor mean) / (factor standard deviation) What is the 2-norm? Euclidean distance What is the 1-norm? The rectilinear (Manhattan) distance 00:00 01:24 What is the infinity norm? The value of the largest dimension