Matches in SemOpenAlex for { <https://semopenalex.org/work/W2779380945> ?p ?o ?g. }
Showing items 1 to 58 of
58
with 100 items per page.
- W2779380945 endingPage "426" @default.
- W2779380945 startingPage "410" @default.
- W2779380945 abstract "In this paper we provide a framework to embed logical constraints into the classical learning scheme of kernel machines, that gives rise to a learning algorithm based on a quadratic programming problem. In particular, we show that, once the constraints are expressed using a specific fragment from the Łukasiewicz logic, the learning objective turns out to be convex. We formulate the primal and dual forms of a general multi–task learning problem, where the functions to be determined are predicates (of any arity) defined on the feature space. The learning set contains both supervised examples for each predicate and unsupervised examples exploited to enforce the constraints. We give some properties of the solutions constructed by the framework along with promising experimental results." @default.
- W2779380945 created "2018-01-05" @default.
- W2779380945 creator A5022658803 @default.
- W2779380945 creator A5054935811 @default.
- W2779380945 creator A5058772124 @default.
- W2779380945 creator A5080411641 @default.
- W2779380945 date "2017-01-01" @default.
- W2779380945 modified "2023-09-26" @default.
- W2779380945 title "Learning Łukasiewicz Logic Fragments by Quadratic Programming" @default.
- W2779380945 cites W1552501597 @default.
- W2779380945 cites W1975822154 @default.
- W2779380945 cites W1977970897 @default.
- W2779380945 cites W2048919592 @default.
- W2779380945 cites W2111141597 @default.
- W2779380945 cites W2122971007 @default.
- W2779380945 cites W2124386111 @default.
- W2779380945 cites W2201744460 @default.
- W2779380945 cites W2518317203 @default.
- W2779380945 cites W2963687836 @default.
- W2779380945 doi "https://doi.org/10.1007/978-3-319-71249-9_25" @default.
- W2779380945 hasPublicationYear "2017" @default.
- W2779380945 type Work @default.
- W2779380945 sameAs 2779380945 @default.
- W2779380945 citedByCount "3" @default.
- W2779380945 countsByYear W27793809452019 @default.
- W2779380945 countsByYear W27793809452021 @default.
- W2779380945 crossrefType "book-chapter" @default.
- W2779380945 hasAuthorship W2779380945A5022658803 @default.
- W2779380945 hasAuthorship W2779380945A5054935811 @default.
- W2779380945 hasAuthorship W2779380945A5058772124 @default.
- W2779380945 hasAuthorship W2779380945A5080411641 @default.
- W2779380945 hasConcept C199360897 @default.
- W2779380945 hasConcept C33923547 @default.
- W2779380945 hasConcept C41008148 @default.
- W2779380945 hasConcept C94375191 @default.
- W2779380945 hasConceptScore W2779380945C199360897 @default.
- W2779380945 hasConceptScore W2779380945C33923547 @default.
- W2779380945 hasConceptScore W2779380945C41008148 @default.
- W2779380945 hasConceptScore W2779380945C94375191 @default.
- W2779380945 hasLocation W27793809451 @default.
- W2779380945 hasOpenAccess W2779380945 @default.
- W2779380945 hasPrimaryLocation W27793809451 @default.
- W2779380945 hasRelatedWork W1527862632 @default.
- W2779380945 hasRelatedWork W2109507516 @default.
- W2779380945 hasRelatedWork W2112962394 @default.
- W2779380945 hasRelatedWork W2118300983 @default.
- W2779380945 hasRelatedWork W2135396778 @default.
- W2779380945 hasRelatedWork W2382501300 @default.
- W2779380945 hasRelatedWork W2740990710 @default.
- W2779380945 hasRelatedWork W3137189469 @default.
- W2779380945 hasRelatedWork W4235530921 @default.
- W2779380945 hasRelatedWork W4243252198 @default.
- W2779380945 isParatext "false" @default.
- W2779380945 isRetracted "false" @default.
- W2779380945 magId "2779380945" @default.
- W2779380945 workType "book-chapter" @default.