Results 121 to 130 of about 741,105 (343)
, 2020 Decision tree algorithms have been among the most popular algorithms for interpretable (transparent) machine learning since the early 1980's. The problem that has plagued decision tree algorithms since their inception is their lack of optimality, or lack
Hu, Xiyang +2 more
core
Nephrotoxicity Development of a Clinical Decision Support System Based on Tree-Based Machine Learning Methods to Detect Diagnostic Biomarkers from Genomic Data in Methotrexate-Induced Rats [PDF]
, 2023 İpek Balıkçı Çiçek +9 more
openalex +1 more source
Advanced Materials, EarlyView.A nonlinear optical microscopy technique is introduced that enables rapid imaging of hexagonal boron nitride monolayers, which are usually optically invisible. The nonlinear mixing of mid‐infrared and visible laser pulses enables full crystallographic imaging through phase‐resolved sum‐frequency generation microscopy, where the resonant excitation of a
Niclas S. Mueller +15 more
wiley +1 more source
Building more accurate decision trees with the additive tree. [PDF]
, 2019 The expansion of machine learning to high-stakes application domains such as medicine, finance, and criminal justice, where making informed decisions requires clear understanding of the model, has increased the interest in interpretable machine learning.
Diffenderfer, Eric S +9 more
core +1 more source
Learning decision trees from random examples
Information and Computation, 1989 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ehrenfeucht, Andrzej, Haussler, David
openaire +2 more sources
Advanced Materials, EarlyView.Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Scientific Reports, 2017 Accurate prediction of graft survival after kidney transplant is limited by the complexity and heterogeneity of risk factors influencing allograft survival.
Kyung Don Yoo +8 more
doaj +1 more source
Software Defect Prediction Using Extreme Gradient Boosting(XGBoost) with Tune Hyperparameter [PDF]
Al-Rafidain Journal of Computer Sciences and MathematicsSoftware applications have become widely spread in an unprecedented manner in our daily lives, controlling some of the most sensitive and critical aspects within institutions. Examples include automated systems such as traffic control, aviation, and self-
Tariq AL-Hadidi, Safwan Omar Hasoon
doaj +1 more source
Active Learning‐Guided Accelerated Discovery of Ultra‐Efficient High‐Entropy Thermoelectrics
Advanced Materials, EarlyView.An active learning framework is introduced for the accelerated discovery of high‐entropy chalcogenides with superior thermoelectric performance. Only 80 targeted syntheses, selected from 16206 possible combinations, led to three high‐performance compositions, demonstrating the remarkable efficiency of data‐driven guidance in experimental materials ...
Hanhwi Jang +8 more
wiley +1 more source
Recent Advances in Collective Behaviors of Micro/Nanomotor Swarms
Advanced Materials, EarlyView.This review describes the driving forces behind collective motion, explores the self‐organization of micro/nano swarms across zero‐dimensional (0D), one‐dimensional (1D), two‐dimensional (2D), and three‐dimensional (3D) spaces, and highlights their potential in drug delivery, environmental monitoring, and smart devices.
Siwen Sun +4 more
wiley +1 more source