# CSE Notes

## KNN Solved Example Diabetic Patient

KNN Solved Example to predict Sugar of Diabetic Patient given BMI and Age Apply K nearest neighbor classifier to predict the diabetic patient with the given features BMI, Age. If the training examples are, BMI Age Sugar 33.6 50 1 26.6 30 O 23.4 40 O 43.1 67 O 35.3 23 1 35.9 67 1 …

## Solution to 18CS71 AIML Model Question Paper

Solution to 18CS71 Artificial Intelligence and Machine Learning (AIML) Model Question Paper MODULE-1 1. a. Define Artificial Intelligence and list the task domains of Artificial Intelligence. (10 Marks) b. State and explain the algorithm for Best First Search Algorithm with an example.  (10 Marks) OR 2. a. A Water Jug Problem: You are given two …

## 2018 Scheme 7 Sem CSE Model Question Papers

Download 2018 Scheme 7 Sem CSE Model Question Papers Here you can download the model question papers of the 2018 Scheme 7th semester Computer Science and Engineering (CSE) VTU CBCS Notes. Branch: Computer Science and Engineering Scheme: 2018 CBCS Type of Material: Model Question Papers 2018 scheme VTU 7th semester VTU Notes Core Subjects of …

## AO* Search (And-Or) Graph – Artificial Intelligence

AO* Search (And-Or) Graph, Advantages and Disadvantages – Artificial Intelligence – Artificial Intelligence The Depth-first search and Breadth-first search given earlier for OR trees or graphs can be easily adopted by AND-OR graph. The main difference lies in the way termination conditions are determined since all goals following an AND node must be realized; whereas …

## A Star Search Algorithm – Artificial Intelligence

A Star ( A*) Search Algorithm, Advantages and Disadvantages – Artificial Intelligence – Artificial Intelligence A* is a cornerstone name of many AI systems and has been used since it was developed in 1968 by Peter Hart; Nils Nilsson and Bertram Raphael. It is the combination of Dijkstra’s algorithm and the Best first search. It …

## Best-First Search Algorithm – Artificial Intelligence

Best-First Search Algorithm – Artificial Intelligence – Artificial Intelligence We have studied two uninformed search algorithms such as Breadth-First Search (BFS) and Depth First Search (DFS) Algorithm. DFS is good because it allows a solution to be found without all competing branches having to be expanded. BFS is good because it does not get branches …

## Hill-Climbing Steppest Hill-Climbing – Artificial Intelligence

Simplest Hill-Climbing and Steppest Hill-Climbing Search Algorithms – Artificial Intelligence In hill climbing the basic idea is to always head towards a state which is better than the current one. So, if you are in town A and you can get to town B and town C (and your target is town D) then you …

## Generate and Test Heuristic Search – Artificial Intelligence

Generate and Test Heuristic Search – Artificial Intelligence The generate-and-test strategy is the simplest of all the approaches. It consists of the following steps: Algorithm: Generate-and-Test 1. Generate a possible solution. For some problems. this means generating a particular point in the problem space. For others, it means generating a path from a start state. …

## Heuristic Search – Characteristics Advantages – Artificial Intelligence

What do you mean by heuristic and heuristic search? What are the advantages and Characteristics of Heuristic Search? – Artificial Intelligence There are two types of search algorithms in Artificial Intelligence, Uninformed search algorithms and Informed search algorithms. Uninformed search algorithms or Brute-force algorithms, search through the search space all possible candidates for the solution …

## Depth-first search Example Advantages and Disadvantages

Explain Depth-first search (DFS) with an example. List down the advantages and disadvantages of DFS – Artificial Intelligence Depth-first search (DFS) Breadth-First –Search is an uninformed search technique. We may sometimes search the goal along with the largest depth of the tree, and move up only when further traversal along the depth is not possible. …