Results 51 to 60 of about 726,930 (286)
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
doaj +1 more source
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
FEBS Open Bio, EarlyView.UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
Proximal boosting and its acceleration
, 2020 Gradient boosting is a prediction method that iteratively combines weak learners to produce a complex and accurate model. From an optimization point of view, the learning procedure of gradient boosting mimics a gradient descent on a functional variable ...
Boyer, Claire +2 more
core
Boosting the Anatomy of Volatility [PDF]
, 2012 Risk and, thus, the volatility of financial asset prices plays a major role in financial decision making and financial regulation. Therefore, understanding and predicting the volatility of financial instruments, asset classes or financial markets in ...
Mittnik, Stefan +2 more
core +2 more sources
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
doaj +1 more source
RolexBoost: A Rotation-Based Boosting Algorithm With Adaptive Loss Functions
IEEE Access, 2020 We propose a new ensemble algorithm, called RolexBoost (Rotation-Flexible AdaBoost) that can not only secure diversity within an ensemble by rotating the feature axes in conjunction with performing the random subspace method for each bootstrap sample ...
Dong-Hyuk Yang +2 more
doaj +1 more source
Aging and Cancer, EarlyView.Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu +8 more
wiley +1 more source
, 2008 In this paper we propose a simple multistep regression smoother which is constructed in an iterative manner, by learning the Nadaraya-Watson estimator with L-2 boosting.
Breiman +25 more
core +2 more sources
Generating Compact Tree Ensembles via Annealing
, 2020 Tree ensembles are flexible predictive models that can capture relevant variables and to some extent their interactions in a compact and interpretable manner. Most algorithms for obtaining tree ensembles are based on versions of boosting or Random Forest.
Barbu, Adrian +2 more
core +1 more source