Matches in SemOpenAlex for { <https://semopenalex.org/work/W1579727669> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W1579727669 abstract "This paper describes a machine learning method, called Regression by Selecting Best Feature Projections (RSBFP). In the training phase, RSBFP projects the training data on each feature dimension and aims to find the predictive power of each feature attribute by constructing simple linear regression lines, one per each continuous feature and number of categories per each categorical feature. Because, although the predictive power of a continuous feature is constant, it varies for each distinct value of categorical features. Then the simple linear regression lines are sorted according to their predictive power. In the querying phase of learning, the best linear regression line and thus the best feature projection are selected to make predictions." @default.
- W1579727669 created "2016-06-24" @default.
- W1579727669 creator A5006749056 @default.
- W1579727669 creator A5088849430 @default.
- W1579727669 date "2001-01-01" @default.
- W1579727669 modified "2023-09-24" @default.
- W1579727669 title "An Eager Regression Method Based on Best Feature Projections" @default.
- W1579727669 cites W1527338945 @default.
- W1579727669 cites W1571076699 @default.
- W1579727669 cites W1965934112 @default.
- W1579727669 cites W1986241547 @default.
- W1579727669 cites W2079917809 @default.
- W1579727669 cites W2102201073 @default.
- W1579727669 cites W4244238212 @default.
- W1579727669 doi "https://doi.org/10.1007/3-540-45517-5_25" @default.
- W1579727669 hasPublicationYear "2001" @default.
- W1579727669 type Work @default.
- W1579727669 sameAs 1579727669 @default.
- W1579727669 citedByCount "0" @default.
- W1579727669 crossrefType "book-chapter" @default.
- W1579727669 hasAuthorship W1579727669A5006749056 @default.
- W1579727669 hasAuthorship W1579727669A5088849430 @default.
- W1579727669 hasBestOaLocation W15797276692 @default.
- W1579727669 hasConcept C105795698 @default.
- W1579727669 hasConcept C11413529 @default.
- W1579727669 hasConcept C119857082 @default.
- W1579727669 hasConcept C120068334 @default.
- W1579727669 hasConcept C124101348 @default.
- W1579727669 hasConcept C138885662 @default.
- W1579727669 hasConcept C152877465 @default.
- W1579727669 hasConcept C153180895 @default.
- W1579727669 hasConcept C154945302 @default.
- W1579727669 hasConcept C202444582 @default.
- W1579727669 hasConcept C2776401178 @default.
- W1579727669 hasConcept C33676613 @default.
- W1579727669 hasConcept C33923547 @default.
- W1579727669 hasConcept C41008148 @default.
- W1579727669 hasConcept C41895202 @default.
- W1579727669 hasConcept C48921125 @default.
- W1579727669 hasConcept C5274069 @default.
- W1579727669 hasConcept C57493831 @default.
- W1579727669 hasConcept C60316415 @default.
- W1579727669 hasConcept C83546350 @default.
- W1579727669 hasConceptScore W1579727669C105795698 @default.
- W1579727669 hasConceptScore W1579727669C11413529 @default.
- W1579727669 hasConceptScore W1579727669C119857082 @default.
- W1579727669 hasConceptScore W1579727669C120068334 @default.
- W1579727669 hasConceptScore W1579727669C124101348 @default.
- W1579727669 hasConceptScore W1579727669C138885662 @default.
- W1579727669 hasConceptScore W1579727669C152877465 @default.
- W1579727669 hasConceptScore W1579727669C153180895 @default.
- W1579727669 hasConceptScore W1579727669C154945302 @default.
- W1579727669 hasConceptScore W1579727669C202444582 @default.
- W1579727669 hasConceptScore W1579727669C2776401178 @default.
- W1579727669 hasConceptScore W1579727669C33676613 @default.
- W1579727669 hasConceptScore W1579727669C33923547 @default.
- W1579727669 hasConceptScore W1579727669C41008148 @default.
- W1579727669 hasConceptScore W1579727669C41895202 @default.
- W1579727669 hasConceptScore W1579727669C48921125 @default.
- W1579727669 hasConceptScore W1579727669C5274069 @default.
- W1579727669 hasConceptScore W1579727669C57493831 @default.
- W1579727669 hasConceptScore W1579727669C60316415 @default.
- W1579727669 hasConceptScore W1579727669C83546350 @default.
- W1579727669 hasLocation W15797276691 @default.
- W1579727669 hasLocation W15797276692 @default.
- W1579727669 hasOpenAccess W1579727669 @default.
- W1579727669 hasPrimaryLocation W15797276691 @default.
- W1579727669 hasRelatedWork W1493390926 @default.
- W1579727669 hasRelatedWork W1516823873 @default.
- W1579727669 hasRelatedWork W1522368776 @default.
- W1579727669 hasRelatedWork W1648555071 @default.
- W1579727669 hasRelatedWork W1787551600 @default.
- W1579727669 hasRelatedWork W1859308562 @default.
- W1579727669 hasRelatedWork W1976076428 @default.
- W1579727669 hasRelatedWork W2035750819 @default.
- W1579727669 hasRelatedWork W2063300059 @default.
- W1579727669 hasRelatedWork W2121475180 @default.
- W1579727669 hasRelatedWork W2126576544 @default.
- W1579727669 hasRelatedWork W2138229177 @default.
- W1579727669 hasRelatedWork W2168447548 @default.
- W1579727669 hasRelatedWork W2170504897 @default.
- W1579727669 hasRelatedWork W2175293514 @default.
- W1579727669 hasRelatedWork W2309249221 @default.
- W1579727669 hasRelatedWork W2361763839 @default.
- W1579727669 hasRelatedWork W2402197802 @default.
- W1579727669 hasRelatedWork W179231118 @default.
- W1579727669 hasRelatedWork W2969074756 @default.
- W1579727669 isParatext "false" @default.
- W1579727669 isRetracted "false" @default.
- W1579727669 magId "1579727669" @default.
- W1579727669 workType "book-chapter" @default.