Placement Preparation

List then Eliminate Algorithm Machine Learning

Download Final Year Projects   Join for Regular Updates Consistent Hypothesis, Version Space and List then Eliminate Algorithm Consistent Hypothesis The idea: output a description of the set of all hypotheses consistent with the training examples (correctly classify training examples). Video Tutorial of Consistent Hypothesis, Version Space, and List then Eliminate Algorithm Version Space Version […]

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

Download Final Year Projects   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

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Best-First Search Algorithm – Artificial Intelligence

Download Final Year Projects   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

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Generate and Test Heuristic Search – Artificial Intelligence

Download Final Year Projects   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

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Heuristic Search – Characteristics Advantages – Artificial Intelligence

Download Final Year Projects   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

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Depth-first search Example Advantages and Disadvantages

Download Final Year Projects   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

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Breadth-first search Example Advantages and Disadvantages

Download Final Year Projects   Explain Breadth-first search (BFS) with an example. List down the advantages and disadvantages of BFS – Artificial Intelligence Breadth-first search (BFS) Breadth-First –Search is an uninformed search technique. Consider the state space of a problem that takes the form of a tree. Now, if we search the goal along with

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Control Strategy and Requirements in Artificial Intelligence

Download Final Year Projects   Define Control Strategy and requirements for good search strategy – Artificial Intelligence Production systems in artificial intelligence consist of: 1. A set of rules, “each consisting of a left side (a pattern) that determines the applicability of the rule and a right side that describes the operation to be performed

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