IEEE

Decision-Tree-Initialized Dendritic Neuron Model for Fast and Accurate Data Classification

Abstract: This work proposes a decision tree (DT)-based method for initializing a dendritic neuron model (DNM). Neural networks become larger and larger, thus consuming more and more computing ...
SciELO

RESEARCH ON REMOTE SENSING CROP CLASSIFICATION BASED ON IMPROVED U-NET

For the classification and zoning study of crops at Jianshan Farm, data were acquired by integrating Sentinel-2 optical satellite imagery with Sentinel-1 radar satellite imagery. Different crop ...
Nature

What are decision trees?

Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
C&EN

Absorption Classification of Oral Drugs Based on Molecular Surface Properties

Center of Pharmaceutical Informatics, Department of Pharmacy, Uppsala University, Uppsala Biomedical Center, P.O. Box 580, SE-751 23 Uppsala, Sweden, pION Inc., 5 ...
IEEE

PartitionFilter: A Fast Packet Classification Algorithm Based on Adaptive Partition and Filter

Abstract: The decision tree, as an efficient data structure, is commonly used to perform packet classification due to its faster classification speed. During packet classification, all packets need to ...