Matches in SemOpenAlex for { <https://semopenalex.org/work/W4225332015> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W4225332015 endingPage "108770" @default.
- W4225332015 startingPage "108770" @default.
- W4225332015 abstract "• A novel optimization problem in a bi-level formulation for learning an affective multiple kernel. • Capturing the accurate and complex relationships of data via global and local kernel alignments in a shared design. • Evaluating the reliability of the training samples via self-paced learning. • Robustness improvement of the proposed model via automatically absorbing the reliable instances into the model. Multiple kernel learning (MKL) is a crucial issue which has been widely researched over the last two decades. Although existing MKL algorithms have achieved satisfactory performance in a broad range of applications, these methods do not adequately consider the adverse effects of unreliable or less reliable instances. To handle this shortcoming, we formulate multiple kernel learning in a bi-level learning paradigm consisting of the kernel combination weight learning (KWL) stage and the self-paced learning (SPL) stage, which alternatively negotiate with each other. The KWL stage dynamically absorbs reliable instances into model learning to accurately capture neighborhood relationships and obtains kernel coefficients via maximizing both global and local kernel alignment in a common schema. The SPL stage automatically evaluates the reliability of training samples via self-paced training. The extensive experiments indicate the robustness and superiority of the presented approach in comparison with existing MKL methods." @default.
- W4225332015 created "2022-05-05" @default.
- W4225332015 creator A5012268721 @default.
- W4225332015 creator A5022739916 @default.
- W4225332015 date "2022-09-01" @default.
- W4225332015 modified "2023-10-14" @default.
- W4225332015 title "A bi-level formulation for multiple kernel learning via self-paced training" @default.
- W4225332015 cites W1970574674 @default.
- W4225332015 cites W2022772671 @default.
- W4225332015 cites W2060166505 @default.
- W4225332015 cites W2075023395 @default.
- W4225332015 cites W2078828682 @default.
- W4225332015 cites W2158001550 @default.
- W4225332015 cites W2612317298 @default.
- W4225332015 cites W2798790285 @default.
- W4225332015 cites W2912580424 @default.
- W4225332015 cites W2954752948 @default.
- W4225332015 cites W2962881194 @default.
- W4225332015 cites W3082369885 @default.
- W4225332015 cites W3199663023 @default.
- W4225332015 cites W3211148891 @default.
- W4225332015 doi "https://doi.org/10.1016/j.patcog.2022.108770" @default.
- W4225332015 hasPublicationYear "2022" @default.
- W4225332015 type Work @default.
- W4225332015 citedByCount "5" @default.
- W4225332015 countsByYear W42253320152022 @default.
- W4225332015 countsByYear W42253320152023 @default.
- W4225332015 crossrefType "journal-article" @default.
- W4225332015 hasAuthorship W4225332015A5012268721 @default.
- W4225332015 hasAuthorship W4225332015A5022739916 @default.
- W4225332015 hasConcept C114614502 @default.
- W4225332015 hasConcept C119857082 @default.
- W4225332015 hasConcept C121332964 @default.
- W4225332015 hasConcept C122280245 @default.
- W4225332015 hasConcept C12267149 @default.
- W4225332015 hasConcept C153180895 @default.
- W4225332015 hasConcept C153294291 @default.
- W4225332015 hasConcept C154945302 @default.
- W4225332015 hasConcept C2776879701 @default.
- W4225332015 hasConcept C2777211547 @default.
- W4225332015 hasConcept C33923547 @default.
- W4225332015 hasConcept C41008148 @default.
- W4225332015 hasConcept C74193536 @default.
- W4225332015 hasConceptScore W4225332015C114614502 @default.
- W4225332015 hasConceptScore W4225332015C119857082 @default.
- W4225332015 hasConceptScore W4225332015C121332964 @default.
- W4225332015 hasConceptScore W4225332015C122280245 @default.
- W4225332015 hasConceptScore W4225332015C12267149 @default.
- W4225332015 hasConceptScore W4225332015C153180895 @default.
- W4225332015 hasConceptScore W4225332015C153294291 @default.
- W4225332015 hasConceptScore W4225332015C154945302 @default.
- W4225332015 hasConceptScore W4225332015C2776879701 @default.
- W4225332015 hasConceptScore W4225332015C2777211547 @default.
- W4225332015 hasConceptScore W4225332015C33923547 @default.
- W4225332015 hasConceptScore W4225332015C41008148 @default.
- W4225332015 hasConceptScore W4225332015C74193536 @default.
- W4225332015 hasLocation W42253320151 @default.
- W4225332015 hasOpenAccess W4225332015 @default.
- W4225332015 hasPrimaryLocation W42253320151 @default.
- W4225332015 hasRelatedWork W2049539567 @default.
- W4225332015 hasRelatedWork W2110459882 @default.
- W4225332015 hasRelatedWork W2121902652 @default.
- W4225332015 hasRelatedWork W2163207321 @default.
- W4225332015 hasRelatedWork W2603933437 @default.
- W4225332015 hasRelatedWork W2613557745 @default.
- W4225332015 hasRelatedWork W2765939201 @default.
- W4225332015 hasRelatedWork W2828181497 @default.
- W4225332015 hasRelatedWork W2898882859 @default.
- W4225332015 hasRelatedWork W4300176214 @default.
- W4225332015 hasVolume "129" @default.
- W4225332015 isParatext "false" @default.
- W4225332015 isRetracted "false" @default.
- W4225332015 workType "article" @default.