GATE DA 2026 | Machine Learning | Memory Based | Question 22

Consider a linear model $$y_{\text{pred}} = w^T x$$with Mean Absolute Error (MAE) loss and $L_2$ regularization..Given:\[\lambda = 0.20, \quad w = \begin{bmatrix} -3 \\ 4...

Let $M=I_n-\frac{1}{n}\mathbf{1}\mathbf{1}^T$, where $\mathbf{1}=(1,1,\dots,1)^T\in\mathbb{R}^n$.Consider the optimization problem $\max_{x} (x^T A x)$ subject to $x^T x=...

Consider a fully connected feedforward neural network with $30$ input neurons, a first hidden layer with $4$ neurons, a second hidden layer with $3$ neurons, and an outpu...

Let $x_1,x_2,\dots,x_{100}$ be real-valued observations with sample mean$$\bar{x}=\frac{1}{100}\sum_{i=1}^{100}x_i$$The pairwise squared distance summation is $$S=\sum_{i...