Recent questions tagged artificial-intelligence

Which of the following statments with respect to a Bayes Net is/are False?Bayes net of variables with no edges (no nodes are connected to any of the others) means all var...

Consider a Bayes Net with the following graph.If you do not have a stomach bug, would vomiting affect the probability of having a fever?Yes, vomiting would increase the p...

Suppose that you are trying to solve a binary classification problem, and your data set has 3 attributes. Each attribute can take 4 possible values. If you modeled the fu...

Consider a Bayes Net with the following graph.What is the Markov blanket of node $D$ ?$A, D, G, B, F$$A, E, G, F$$A, G, F, B, C, E$$A, F, G, B$

Consider five random variables $A, B, C, D$, and $E$ with the joint distribution factorization:$$P(A, B, C, D, E)=P(A) P(B \mid A) P(C \mid A, B) P(D \mid B, C) P(E \mid ...

A student of the Machine Learning class notices that people driving SUVs $(S)$ consume large amounts of gas $(G)$ and are involved in more accidents than the national ave...

We are dealing with two probability distributions over $N$ variables, where each variable can take on exactly $d$ values. The distributions are represented by the two Bay...

Consider the 3 -stage process: Roll a 6 -sided die (numbered 1-6), call the outcome $X$. Then, roll an $X$-sided die (numbered 1-X), call the outcome $Y$. Finally, roll a...

In the following graphical model, $A, B, C$, and $D$ are binary random variables. How many parameters (minimum) are needed to define the Conditional Probability Distribut...

Consider the Bayes' net given below. Remember that $X \perp Y$ means " $X$ is independent of $Y$ given nothing", and $X \perp Y \mid\{Z, W\}$ means " $X$ is independent o...

Which of the follwing expressions is/are equivalent to $\mathbf{P}(\mathbf{A}, \mathbf{B} \mid \mathbf{C})$, given that $\mathbf{A} \perp \mathbf{B} \mid \mathbf{C}$ ? NO...

Suppose that a patient can have a symptom $(S)$ that can be caused by two different diseases $(A$ and $B$ ). It is known that the variation of gene $G$ plays a big role i...

Consider a Naive Bayes classifier with 5 input variables each of which can take 3 possible values and one boolean output, $Y$. How many minimum number of parameters must ...