Results 41 to 50 of about 4,926,046 (277)

Topological Forest

open access: yesIEEE Access, 2022
We propose a new ML model called Topological Forest that contains an ensemble of decision trees. Unlike a vanilla Random Forest, Topological Forest has a special training process that selects a smaller number of decision trees on a topological graph ...
Murat Ali Bayir   +3 more
doaj   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

open access: yesFEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin   +2 more
wiley   +1 more source

Plasmodium falciparum gametogenesis essential protein 1 (GEP1) is a transmission‐blocking target

open access: yesFEBS Letters, EarlyView.
This study shows Plasmodium falciparum GEP1 is vital for activating sexual stages of malarial parasites even independently of a mosquito factor. Knockout parasites completely fail gamete formation even when a phosphodiesterase inhibitor is added. Two single‐nucleotide polymorphisms (V241L and S263P) are found in 12%–20% of field samples.
Frederik Huppertz   +5 more
wiley   +1 more source

Machine Learning Methods with Decision Forests for Parkinson’s Detection

open access: yesApplied Sciences, 2021
Biomedical engineers prefer decision forests over traditional decision trees to design state-of-the-art Parkinson’s Detection Systems (PDS) on massive acoustic signal data.
Moumita Pramanik   +4 more
doaj   +1 more source

Integration of Decision Trees Using Distance to Centroid and to Decision Boundary [PDF]

open access: yesJournal of Universal Computer Science, 2020
Plethora of ensemble techniques have been implemented and studied in order to achieve better classification results than base classifiers. In this paper an algorithm for integration of decision trees is proposed, which means that homogeneous base ...
Jedrzej Biedrzycki, Robert Burduk
doaj   +3 more sources

Molecular bases of circadian magnesium rhythms across eukaryotes

open access: yesFEBS Letters, EarlyView.
Circadian rhythms in intracellular [Mg2+] exist across eukaryotic kingdoms. Central roles for Mg2+ in metabolism suggest that Mg2+ rhythms could regulate daily cellular energy and metabolism. In this Perspective paper, we propose that ancestral prokaryotic transport proteins could be responsible for mediating Mg2+ rhythms and posit a feedback model ...
Helen K. Feord, Gerben van Ooijen
wiley   +1 more source

Building more accurate decision trees with the additive tree

open access: yesProceedings of the National Academy of Sciences of the United States of America, 2019
Significance As machine learning applications expand to high-stakes areas such as criminal justice, finance, and medicine, legitimate concerns emerge about high-impact effects of individual mispredictions on people’s lives.
J. Luna   +9 more
semanticscholar   +1 more source

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

open access: yesMolecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh   +8 more
wiley   +1 more source

A Modified Random Forest Based on Kappa Measure and Binary Artificial Bee Colony Algorithm

open access: yesIEEE Access, 2021
Random forest (RF) is an ensemble classifier method, all decision trees participate in voting, some low-quality decision trees will reduce the accuracy of random forest.
Chen Zhang   +5 more
doaj   +1 more source

Learning Optimal Decision Trees with SAT

open access: yesInternational Joint Conference on Artificial Intelligence, 2018
Explanations of machine learning (ML) predictions are of fundamental importance in different settings. Moreover, explanations should be succinct, to enable easy understanding by humans.
Nina Narodytska   +3 more
semanticscholar   +1 more source

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