https://utsavdarlami.github.io/blogs/tags/candidate-elimination/Recent content in Candidate-Elimination on felladogHugo -- gohugo.ioenFri, 30 Jul 2021 12:25:36 +0545https://utsavdarlami.github.io/blogs/notes/2021-06-04--14-08-26z--concept_learning/Fri, 04 Jun 2021 19:53:00 +0545https://utsavdarlami.github.io/blogs/notes/2021-06-04--14-08-26z--concept_learning/References : Reading: Tom Mitchell Lectures slides of chapter 2 Tom Mitchell, Machine Learning Chapter 2 To Read: Candidate elimination algorithm with an example Questions : Inferring boolean valued function from training examples of its input and outputs. A problem of searching through a predefined space of potential hypotheses for the hypothesis that best fits the training examples Example Traget concept or function: Concept or function to be learned. For our example - “days on which “A” can enjoy water sport”, EnjoySport Denoted by \(c\) c can be any boolean valued function defined over the instances X; \( c : X \rightarrow \{ 0,1 \} \) Instances The set of items over which the concept is defined.