Statements (20)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
|
| gptkbp:assumes |
noise-free data
positive examples only |
| gptkbp:describedBy |
Machine Learning (book by Tom Mitchell)
|
| gptkbp:field |
gptkb:machine_learning
concept learning |
| https://www.w3.org/2000/01/rdf-schema#label |
Find-S algorithm
|
| gptkbp:input |
set of positive training examples
|
| gptkbp:introduced |
gptkb:Tom_Mitchell
|
| gptkbp:introducedIn |
1982
|
| gptkbp:limitation |
cannot handle negative examples
cannot handle noisy data |
| gptkbp:output |
most specific hypothesis
|
| gptkbp:purpose |
find most specific hypothesis
|
| gptkbp:relatedTo |
gptkb:Candidate_Elimination_algorithm
|
| gptkbp:step |
for each positive example, generalize hypothesis minimally
initialize hypothesis to most specific |
| gptkbp:usedFor |
learning conjunctive concepts
|
| gptkbp:bfsParent |
gptkb:Mitchell's_best_candidate_algorithm
|
| gptkbp:bfsLayer |
7
|