Many-Expert Decision Trees [PDF]
Taking inspiration from the literature fuzzy decision trees, and leveraging many-valued logics, we propose a novel, and more general variety of decision ...
Guido Sciavicco +3 more
core
Correction: Costache et al. Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors. <i>Sensors</i> 2021, <i>21</i>, 280. [PDF]
Sensors (Basel)Costache R +8 more
europepmc +1 more source
Regularized impurity reduction: accurate decision trees with complexity guarantees. [PDF]
Data Min Knowl Discov, 2023 Zhang G, Gionis A.
europepmc +1 more source
Advanced Science, EarlyView.Oligonucleotide‐based fluorescence in situ hybridization probes were developed in the model citrus species Citrus maxima. These probes were applied to comparative karyotyping across 14 species in the Rutaceae family. This analysis revealed chromosomal evolution in lineages that diverged from Citrus nearly 52 million years ago.
Li He +9 more
wiley +1 more source
Decision Machines: Congruent Decision Trees
The decision tree recursively partitions the input space into regions and derives axis-aligned decision boundaries from data. Despite its simplicity and interpretability, decision trees lack parameterized representation, which makes it prone to ...
Zhang, Jinxiong
core
Integrating Decision Trees and Clustering for Efficient Optimization of Bioink Rheology and 3D Bioprinted Construct Microenvironments. [PDF]
J Manuf Sci EngLimon SM, Sarah R, Habib A.
europepmc +1 more source
Study of Free‐Space Optical Quantum Network: Review and Prospectives
Advanced Science, EarlyView.Free from the constraints of fiber connections, free‐space quantum network enables longer and more flexible quantum network connections. This review summarizes and comparatively analyzes free‐space quantum network experiments based on ground stations, satellites, and mobile platforms.
Hua‐Ying Liu, Zhenda Xie, Shining Zhu
wiley +1 more source
Establishment of a differential diagnosis method and an online prediction platform for AOSD and sepsis based on gradient boosting decision trees algorithm. [PDF]
Arthritis Res Ther, 2023 Zhou D +11 more
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Using Decision Trees as an Expert System for Clinical Decision Support for COVID-19. [PDF]
Interact J Med Res, 2023 Chrimes D.
europepmc +1 more source