Comparative Analysis of Decision Trees on Two COVID-19 Symptom Datasets
Saengamnatdej S+2 more
europepmc +1 more source
Web document classification using modified decision trees [PDF]
Wen‐Chen Hu+2 more
openalex +1 more source
Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth
A data‐driven framework combining Computational Fluid Dynamics (CFD) simulations and machine learning is proposed to model and optimize Czochralski crystal growth. Using different transfer learning strategies (Warm Start, Merged Training, and Hyperparameter Transfer) the study demonstrates improved predictions for Ge and GaAs growth from Si‐trained ...
Milena Petkovic+3 more
wiley +1 more source
Gradient boosted decision trees reveal nuances of auditory discrimination behavior. [PDF]
Griffiths CS+3 more
europepmc +1 more source
Gradient boosted decision trees reveal nuances of auditory discrimination behavior
Griffiths C+3 more
europepmc +1 more source
Using Decision Trees as an Expert System for Clinical Decision Support for COVID-19.
Chrimes D.
europepmc +1 more source
Combining Multiple Models with Meta Decision Trees
Ljupčo Todorovski, Sašo Džeroski
openalex +1 more source
Lecithin Alleviates Memory Deficits and Muscle Attenuation in Chinese Older Adults and SAMP8 Mice
This study opens a new avenue for safeguarding cognition and muscle health, averting disability in older age, and treating age‐related pathologies through lecithin supplementation. It serves as a promising nonpharmacological intervention for the crosstalk of muscle and cognition.
Xianyun Wang+16 more
wiley +1 more source
Predictive value of gradient boosting decision trees for postoperative atelectasis complications in patients with pulmonary destruction. [PDF]
Tang Z+5 more
europepmc +1 more source
Investigation and Reduction of Discretization Variance in Decision Tree Induction
Pierre Geurts, Louis Wehenkel
openalex +1 more source