Results 61 to 70 of about 4,693,052 (300)
Advanced Materials Interfaces, EarlyView., 2023 This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi +4 more
wiley +1 more source
Optimization of decision trees using modified African buffalo algorithm
Journal of King Saud University: Computer and Information Sciences, 2022 Decision tree induction is a simple, however powerful learning and classification tool to discover knowledge from the database. The volume of data in databases is growing to quite large sizes, both in the number of attributes and instances.
Archana R. Panhalkar, Dharmpal D. Doye
doaj
End-to-End Learning of Decision Trees and Forests
International Journal of Computer Vision, 2019 Conventional decision trees have a number of favorable properties, including a small computational footprint, interpretability, and the ability to learn from little training data.
Thomas M. Hehn +2 more
semanticscholar +1 more source
Adverse prognosis gene expression patterns in metastatic castration‐resistant prostate cancer
Molecular Oncology, EarlyView.We aggregated a cohort of 1012 mCRPC tissue samples from 769 patients and investigated the association of gene expression‐based pathways with clinical outcomes. Loss of AR signaling, high proliferation, and a glycolytic phenotype were independently prognostic for poor outcomes, and an adverse transcriptional feature score incorporating these pathways ...
Marina N. Sharifi +26 more
wiley +1 more source
IEEE AccessThis paper investigates classes of decision tables (DTs) with 0-1-decisions that are closed under the removal of attributes (columns) and changes to the assigned decisions to rows.
Azimkhon Ostonov, Mikhail Moshkov
doaj +1 more source
European Psychiatry, 2022 Introduction There is limited knowledge about the potential role of machine learning (ML) in quality improvement of psychiatric care. Objectives Our case study was to determine whether ML decision trees used on patient databases are suitable for ...
R. Wernigg, M. Wernigg
doaj +1 more source
FEBS Open Bio, EarlyView.ICP34.5 is one of the most important antihost response proteins. The saRNA‐encoding HSV‐1 neurovirulence protein ICP34.5 clearly mediated the eukaryotic initiation factor 2 alpha subunit (eIF2α) dephosphorylation and significant suppression of innate immune responses in vitro, leading to enhanced expression of the saRNA‐encoded gene.
Xuemin Lu +6 more
wiley +1 more source
Method of decision tree applied in adopting the decision for promoting a company
Annals of Spiru Haret University Economic Series, 2015 The decision can be defined as the way chosen from several possible to achieve an objective. An important role in the functioning of the decisional-informational system is held by the decision-making methods.
Cezarina Adina TOFAN
doaj +1 more source
Entropy-Based Greedy Algorithm for Decision Trees Using Hypotheses
Entropy, 2021 In this paper, we consider decision trees that use both conventional queries based on one attribute each and queries based on hypotheses of values of all attributes. Such decision trees are similar to those studied in exact learning, where membership and
Mohammad Azad +3 more
doaj +1 more source
A framework for sensitivity analysis of decision trees
Central European Journal of Operations Research, 2017 In the paper, we consider sequential decision problems with uncertainty, represented as decision trees. Sensitivity analysis is always a crucial element of decision making and in decision trees it often focuses on probabilities.
B. Kamiński +2 more
semanticscholar +1 more source