Gene selection and classification of microarray data method based on mutual information and moth flame algorithm.
Several techniques or methods may help in detecting diseases and cancer. Creating an
effective method for extracting disease information is one of the major challenges in the …
effective method for extracting disease information is one of the major challenges in the …
Online feature selection system for big data classification based on multi-objective automated negotiation
Feature Selection (FS) plays an important role in learning and classification tasks. Its
objective is to select the relevant and non-redundant features. Considering the huge number …
objective is to select the relevant and non-redundant features. Considering the huge number …
Quantum computer based feature selection in machine learning
The problem of selecting an appropriate number of features in supervised learning problems
is investigated. Starting with common methods in machine learning, the feature selection …
is investigated. Starting with common methods in machine learning, the feature selection …
[PDF][PDF] Forecasting the net costs to organisations of Building Information Modelling (BIM) implementation at different levels of development (LOD).
Y Hong, AWA Hammad… - J. Inf. Technol …, 2019 - pdfs.semanticscholar.org
Numerous frameworks and tools have been proposed in the literature to assess the
performance of BIM implementation in the Architecture, Engineering and Construction …
performance of BIM implementation in the Architecture, Engineering and Construction …
An approach of a quantum-inspired document ranking algorithm by using feature selection methodology
The main goal of an information retrieval system (IR) is ranking. Several methodologies
were adopted with the integration of computing and advanced applied systems. However …
were adopted with the integration of computing and advanced applied systems. However …
Construction schedule risk analysis-a hybrid machine learning approach
JP Fitzsimmons, R Lu, Y Hong, I Brilakis - 2022 - repository.cam.ac.uk
Abstract jats: pThe UK commissions about£ 100 billion in infrastructure construction works
every year. More than 50% of them finish later than planned, causing damage to the …
every year. More than 50% of them finish later than planned, causing damage to the …
Feature selection through message passing
A novel similarity-based feature selection algorithm is developed, using the concept of
distance correlation. A feature subset is selected in terms of this similarity measure between …
distance correlation. A feature subset is selected in terms of this similarity measure between …
Quantum Annealing based Feature Selection in Machine Learning
Feature selection is crucial for enhancing the accuracy and efficiency of machine learning
(ML) models. This work investigates the utility of quantum annealing for the feature selection …
(ML) models. This work investigates the utility of quantum annealing for the feature selection …
Scalable global mutual information based feature selection framework for large scale datasets
In the Big Data era, scalability is an essential characteristic of machine learning algorithms.
Most data discovery algorithms apply a feature selection (FS) method as a crucial …
Most data discovery algorithms apply a feature selection (FS) method as a crucial …
Revisiting probability distribution assumptions for information theoretic feature selection
Feature selection has been shown to be beneficial for many data mining and machine
learning tasks, especially for big data analytics. Mutual Information (MI) is a well-known …
learning tasks, especially for big data analytics. Mutual Information (MI) is a well-known …