Results 21 to 30 of about 1,307,990 (175)
Multi-test Decision Tree and its Application to Microarray Data Classification [PDF]
Objective: The desirable property of tools used to investigate biological data is easy to understand models and predictive decisions. Decision trees are particularly promising in this regard due to their comprehensible nature that resembles the ...
Armstrong +46 more
core +1 more source
Learning from the machine: interpreting machine learning algorithms for point- and extended- source classification [PDF]
We investigate star-galaxy classification for astronomical surveys in the context of four methods enabling the interpretation of black-box machine learning systems.
Bacon, David +2 more
core +2 more sources
Machine Learning Decision Tree Models for Differentiation of Posterior Fossa Tumors Using Diffusion Histogram Analysis and Structural MRI Findings. [PDF]
We applied machine learning algorithms for differentiation of posterior fossa tumors using apparent diffusion coefficient (ADC) histogram analysis and structural MRI findings.
Aboian, Mariam +3 more
core +1 more source
Licensed copy is available on IEEE ...
Manwani, N, Sastry, PS
openaire +3 more sources
Efficient privacy-preserving decision tree classification protocol
To provide privacy-preserving decision tree classification services in the Internet of things (IoT) big data scenario, an efficient privacy-preserving decision tree classification protocol was proposed by adopting the secure multiparty computation ...
Lichuan MA +3 more
doaj +2 more sources
Privacy-preserving decision tree for epistasis detection
The interaction between gene loci, namely epistasis, is a widespread biological genetic phenomenon. In genome-wide association studies(GWAS), epistasis detection of complex diseases is a major challenge. Although many approaches using statistics, machine
Qingfeng Chen, Xu Zhang, Ruchang Zhang
doaj +1 more source
Inducing safer oblique trees without costs [PDF]
Decision tree induction has been widely studied and applied. In safety applications, such as determining whether a chemical process is safe or whether a person has a medical condition, the cost of misclassification in one of the classes is significantly ...
Althoff K. +27 more
core +2 more sources
Decision Support System Improving the Interpretability of Generated Tree-Based Models
A decision tree represents one of the most used data analysis methods for classification tasks. The generated decision models can be visualized as a graph, but this visualization is quite complicated for a domain expert to understand in large or ...
Klimonová Diana +3 more
doaj +1 more source

