FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3047971515> ?p ?o ?g. }

• W3047971515 abstract "This article provides an overview of Supervised Machine Learning (SML) with a focus on applications to banking. The SML techniques covered include Bagging (Random Forest or RF), Boosting (Gradient Boosting Machine or GBM) and Neural Networks (NNs). We begin with an introduction to ML tasks and techniques. This is followed by a description of: i) tree-based ensemble algorithms including Bagging with RF and Boosting with GBMs, ii) Feedforward NNs, iii) a discussion of hyper-parameter optimization techniques, and iv) machine learning interpretability. The paper concludes with a comparison of the features of different ML algorithms. Examples taken from credit risk modeling in banking are used throughout the paper to illustrate the techniques and interpret the results of the algorithms." @default.
• W3047971515 created "2020-08-13" @default.
• W3047971515 creator A5001331464 @default.
• W3047971515 creator A5010479652 @default.
• W3047971515 creator A5011507959 @default.
• W3047971515 creator A5017152975 @default.
• W3047971515 creator A5022539798 @default.
• W3047971515 creator A5078363534 @default.
• W3047971515 creator A5084583386 @default.
• W3047971515 date "2020-07-28" @default.
• W3047971515 modified "2023-09-25" @default.
• W3047971515 title "Supervised Machine Learning Techniques: An Overview with Applications to Banking." @default.
• W3047971515 cites W1504694836 @default.
• W3047971515 cites W1528797350 @default.
• W3047971515 cites W1554944419 @default.
• W3047971515 cites W1678356000 @default.
• W3047971515 cites W1686810756 @default.
• W3047971515 cites W1926592634 @default.
• W3047971515 cites W1988790447 @default.
• W3047971515 cites W1991788899 @default.
• W3047971515 cites W2038012176 @default.
• W3047971515 cites W2048231652 @default.
• W3047971515 cites W2053411831 @default.
• W3047971515 cites W2070493638 @default.
• W3047971515 cites W2084341220 @default.
• W3047971515 cites W2091886411 @default.
• W3047971515 cites W2093717447 @default.
• W3047971515 cites W2097998348 @default.
• W3047971515 cites W2101589741 @default.
• W3047971515 cites W2106411961 @default.
• W3047971515 cites W2123998733 @default.
• W3047971515 cites W2125847307 @default.
• W3047971515 cites W2131241448 @default.
• W3047971515 cites W2136922672 @default.
• W3047971515 cites W2153476503 @default.
• W3047971515 cites W2157526632 @default.
• W3047971515 cites W2194775991 @default.
• W3047971515 cites W2282821441 @default.
• W3047971515 cites W2293401948 @default.
• W3047971515 cites W2336525064 @default.
• W3047971515 cites W2510508396 @default.
• W3047971515 cites W2518039540 @default.
• W3047971515 cites W2594633041 @default.
• W3047971515 cites W2605409611 @default.
• W3047971515 cites W2787070805 @default.
• W3047971515 cites W2806874342 @default.
• W3047971515 cites W2807716659 @default.
• W3047971515 cites W2888410376 @default.
• W3047971515 cites W2911964244 @default.
• W3047971515 cites W2912934387 @default.
• W3047971515 cites W2962862931 @default.
• W3047971515 cites W2963815651 @default.
• W3047971515 cites W2964060211 @default.
• W3047971515 cites W2964121744 @default.
• W3047971515 cites W2978269572 @default.
• W3047971515 cites W2997428643 @default.
• W3047971515 cites W3035517615 @default.
• W3047971515 cites W3085162807 @default.
• W3047971515 cites W3165174133 @default.
• W3047971515 cites W6908809 @default.
• W3047971515 hasPublicationYear "2020" @default.
• W3047971515 type Work @default.
• W3047971515 sameAs 3047971515 @default.
• W3047971515 citedByCount "0" @default.
• W3047971515 crossrefType "posted-content" @default.
• W3047971515 hasAuthorship W3047971515A5001331464 @default.
• W3047971515 hasAuthorship W3047971515A5010479652 @default.
• W3047971515 hasAuthorship W3047971515A5011507959 @default.
• W3047971515 hasAuthorship W3047971515A5017152975 @default.
• W3047971515 hasAuthorship W3047971515A5022539798 @default.
• W3047971515 hasAuthorship W3047971515A5078363534 @default.
• W3047971515 hasAuthorship W3047971515A5084583386 @default.
• W3047971515 hasConcept C119857082 @default.
• W3047971515 hasConcept C154945302 @default.
• W3047971515 hasConcept C169258074 @default.
• W3047971515 hasConcept C2781067378 @default.
• W3047971515 hasConcept C41008148 @default.
• W3047971515 hasConcept C45942800 @default.
• W3047971515 hasConcept C46686674 @default.
• W3047971515 hasConcept C50644808 @default.
• W3047971515 hasConcept C70153297 @default.
• W3047971515 hasConcept C84525736 @default.
• W3047971515 hasConceptScore W3047971515C119857082 @default.
• W3047971515 hasConceptScore W3047971515C154945302 @default.
• W3047971515 hasConceptScore W3047971515C169258074 @default.
• W3047971515 hasConceptScore W3047971515C2781067378 @default.
• W3047971515 hasConceptScore W3047971515C41008148 @default.
• W3047971515 hasConceptScore W3047971515C45942800 @default.
• W3047971515 hasConceptScore W3047971515C46686674 @default.
• W3047971515 hasConceptScore W3047971515C50644808 @default.
• W3047971515 hasConceptScore W3047971515C70153297 @default.
• W3047971515 hasConceptScore W3047971515C84525736 @default.
• W3047971515 hasLocation W30479715151 @default.
• W3047971515 hasOpenAccess W3047971515 @default.
• W3047971515 hasPrimaryLocation W30479715151 @default.
• W3047971515 hasRelatedWork W2088794999 @default.
• W3047971515 hasRelatedWork W2096352448 @default.
• W3047971515 hasRelatedWork W2121765584 @default.
• W3047971515 hasRelatedWork W2240373644 @default.
• W3047971515 hasRelatedWork W2243044282 @default.

• next