Results 61 to 70 of about 1,243,089 (305)
Explainability of a Machine Learning Granting Scoring Model in Peer-to-Peer Lending
IEEE Access, 2020 Peer-to-peer (P2P) lending demands effective and explainable credit risk models. Typical machine learning algorithms offer high prediction performance, but most of them lack explanatory power.
Miller Janny Ariza-Garzon +3 more
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Journal of Clinical and Translational Science, 2021 Introduction: Identifying predictors of patient outcomes evaluated over time may require modeling interactions among variables while addressing within-subject correlation. Generalized linear mixed models (GLMMs) and generalized estimating equations (GEEs)
Bethany J. Wolf +3 more
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$L_2$ boosting in kernel regression
, 2009 In this paper, we investigate the theoretical and empirical properties of $L_2$ boosting with kernel regression estimates as weak learners. We show that each step of $L_2$ boosting reduces the bias of the estimate by two orders of magnitude, while it ...
Ha, S., Lee, Y. K., Park, B. U.
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Dopants fixation of Ruthenium for boosting acidic oxygen evolution stability and activity
Nature Communications, 2020 Designing highly durable and active electrocatalysts applied in polymer electrolyte membrane (PEM) electrolyzer for the oxygen evolution reaction remains a grand challenge due to the high dissolution of catalysts in acidic electrolyte.
Shaoyun Hao +8 more
semanticscholar +1 more source
Mechanisms of parasite‐mediated disruption of brain vessels
FEBS Letters, EarlyView.Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira +3 more
wiley +1 more source
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Predicting football match outcomes is a significant challenge in sports analytics, requiring models that are both accurate and resilient. This study evaluates the effectiveness of ensemble techniques, specifically Bagging and Boosting, in enhancing the ...
Agus Perdana Windarto +2 more
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Performance Analysis of Classification Algorithms on Birth Dataset
IEEE Access, 2020 Generating intuitions from data using data mining and machine learning algorithms to predict outcomes is useful area of computing. The application area of data mining techniques and machine learning is wide ranging including industries, healthcare ...
Syed Ali Abbas +6 more
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Topic Models Ensembles for AD-HOC Information Retrieval
Information, 2021 Ad hoc information retrieval (ad hoc IR) is a challenging task consisting of ranking text documents for bag-of-words (BOW) queries. Classic approaches based on query and document text vectors use term-weighting functions to rank the documents.
Pablo Ormeño +2 more
doaj +1 more source
Molecular Oncology, EarlyView.HDAC4 is degraded by the E3 ligase FBXW7. In colorectal cancer, FBXW7 mutations prevent HDAC4 degradation, leading to oxaliplatin resistance. Forced degradation of HDAC4 using a PROTAC compound restores drug sensitivity by resetting the super‐enhancer landscape, reprogramming the epigenetic state of FBXW7‐mutated cells to resemble oxaliplatin ...
Vanessa Tolotto +13 more
wiley +1 more source
Hedging and Boosting Criticism in Dissertation Thesis Reviews
ELOPEDissertation thesis reviews within the Czech academic context are, unlike journal article peer reviews, non-blind, non-anonymous, publicly available texts. The key feature of these reviews is evaluation, and they require a substantial amount of facework
Magda Sučková, Petra Zmrzlá
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