Back to the 2025 paper
Similar questions
MACHINE LEARNINGState the mathematical formulation of the SVM problem. Give an outline of the method for solving the problem.20237mMACHINE LEARNINGExplain the concept of SVM for linear classification. Define margin, support vectors, and how the optimal hyperplane is determined.20257mArtificial intelligenceWhat is the goal of the support vector machine (SVM)? How to compute the margin?20207mMACHINE LEARNINGExplain the concept of linear classifiers. How do they separate classes in feature space? Give examples of linearly separable and non-separable datasets.20257m
PreviousA perceptron has weights w=[0.5, -0.5] and bias b=0. For input x=[1,1] with label y=1, the weight update with learning rate η=0.1 is (i) w=[0.6, -0.4], b=0.1 (ii) w=[0.4, -0.6], b=-0.1 (iii) w=[0.5, -0.5], b=0 (iv) w=[0.7, -0.3], b=0.2NextNaive Bayes assumes (i) Features are dependent (ii) Features are independent given the class (iii) Class probabilities are equal (iv) No prior knowledge is required