Výsledky vyhledávání - "binary classification problem"

The PCA plots of the data distribution (mRNA) projected onto two principal components selected from PC1 through PC9.

Autoři: Aninda Astuti Pin-Keng Shih Shan-Chih Lee a další

Témata: Medicine, Cell Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, solving intricate problems, improved execution time, cancer cell dissemination, neural quantum embedding, combines quantum computing, qnn algorithms compared, despite extensive research, identifying metastasis biomarkers, complex metastasis process, qml &# 8217, binary classification problem, binary classification, hybrid quantum, research delves, classical algorithms, study addresses, stage approach, offering potential, machine learning, high lethality, drawing inspiration, daunting task

Relation: https://figshare.com/articles/journal_contribution/The_PCA_plots_of_the_data_distribution_mRNA_projected_onto_two_principal_components_selected_from_PC1_through_PC9_/29592770

Dostupnost: https://doi.org/10.1371/journal.pone.0327928.s006
https://figshare.com/articles/journal_contribution/The_PCA_plots_of_the_data_distribution_mRNA_projected_onto_two_principal_components_selected_from_PC1_through_PC9_/29592770

The results of the 10 performance metrics of the miRNA biomarker study (M0 vs M1) for the two case studies are as follows: NQE+NN, and NQE+QNN.

Autoři: Aninda Astuti Pin-Keng Shih Shan-Chih Lee a další

Témata: Medicine, Cell Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, solving intricate problems, improved execution time, cancer cell dissemination, neural quantum embedding, combines quantum computing, qnn algorithms compared, despite extensive research, identifying metastasis biomarkers, complex metastasis process, qml &# 8217, binary classification problem, binary classification, hybrid quantum, research delves, classical algorithms, study addresses, stage approach, offering potential, machine learning, high lethality, drawing inspiration, daunting task

Relation: https://figshare.com/articles/journal_contribution/The_results_of_the_10_performance_metrics_of_the_miRNA_biomarker_study_M0_vs_M1_for_the_two_case_studies_are_as_follows_NQE_NN_and_NQE_QNN_/29592767

Dostupnost: https://doi.org/10.1371/journal.pone.0327928.s005
https://figshare.com/articles/journal_contribution/The_results_of_the_10_performance_metrics_of_the_miRNA_biomarker_study_M0_vs_M1_for_the_two_case_studies_are_as_follows_NQE_NN_and_NQE_QNN_/29592767

The results of the 10 performance metrics of the miRNA biomarker study (NT vs M0) for the four case studies are as follows: SVC, QSVC, NQE+SVC, and NQE+QSVC.

Autoři: Aninda Astuti Pin-Keng Shih Shan-Chih Lee a další

Témata: Medicine, Cell Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, solving intricate problems, improved execution time, cancer cell dissemination, neural quantum embedding, combines quantum computing, qnn algorithms compared, despite extensive research, identifying metastasis biomarkers, complex metastasis process, qml &# 8217, binary classification problem, binary classification, hybrid quantum, research delves, classical algorithms, study addresses, stage approach, offering potential, machine learning, high lethality, drawing inspiration, daunting task

Relation: https://figshare.com/articles/journal_contribution/The_results_of_the_10_performance_metrics_of_the_miRNA_biomarker_study_NT_vs_M0_for_the_four_case_studies_are_as_follows_SVC_QSVC_NQE_SVC_and_NQE_QSVC_/29592761

Dostupnost: https://doi.org/10.1371/journal.pone.0327928.s003
https://figshare.com/articles/journal_contribution/The_results_of_the_10_performance_metrics_of_the_miRNA_biomarker_study_NT_vs_M0_for_the_four_case_studies_are_as_follows_SVC_QSVC_NQE_SVC_and_NQE_QSVC_/29592761

A. Annotated dispersion relation.

Autoři: Selim Haj Ali Marc-Thorsten Hütt

Témata: Cell Biology, Genetics, Molecular Biology, Developmental Biology, Science Policy, Infectious Diseases, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, +due%22">xlink "> due, one defining feature, higher eigenvalues near, derive rules governing, binary classification problem, spectral graph theory, graph &# 8217, turing instability threshold, graphs , turing instability, graph architecture, structural perturbations, resulting changes, pattern diversity, nonlinear interactions, network architecture, interlacing theorem, important source, collective nature, also evaluate, allows us

Relation: https://figshare.com/articles/journal_contribution/A_Annotated_dispersion_relation_/28908223

Dostupnost: https://doi.org/10.1371/journal.pcsy.0000044.s001
https://figshare.com/articles/journal_contribution/A_Annotated_dispersion_relation_/28908223

Machine learning methods applicable in customer lifecycle management

Autoři: Koleva, Desislava University of Economics - Varna

Zdroj: Известия на Съюза на учените-Варна. Серия "Икономически науки"; Vol 13, No 1 (2024); 324-331
Izvestia Journal of the Union of Scientists-Varna. Economic Sciences Series; Vol 13, No 1 (2024); 324-331

Témata: machine learning, customer lifecycle, machine learning methods, binary classification problem, machine learning algorithms

Popis souboru: application/pdf

Přístupová URL adresa: https://journals.mu-varna.bg/index.php/isuvsin/article/view/10259

Deep template matching for offline handwritten Chinese character recognition

Autoři: Huaxiang Lu Qi Wu Zhiyuan Li a další

Zdroj: The Journal of Engineering (2019)

Témata: predictive power, deep template, feature extraction, training process, handwritten character recognition, 02 engineering and technology, training set, Engineering (General). Civil engineering (General), computer vision, offline handwritten chinese character recognition, computer vision tasks, convolutional neural nets, simple binary classification problem, image recognition, convolutional neural networks, remarkable achievements, 0202 electrical engineering, electronic engineering, information engineering, learning (artificial intelligence), powerful discriminative features, siamese neural network, TA1-2040, template images, image classification, icdar-2013 offline hccr datasets

Přístupová URL adresa: https://doaj.org/article/dabea8d0862d4745800e4dcaba7e47d6
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/joe.2019.0895
https://arxiv.org/abs/1811.06347
https://ui.adsabs.harvard.edu/abs/2018arXiv181106347L/abstract
https://dblp.uni-trier.de/db/journals/corr/corr1811.html#abs-1811-06347
https://arxiv.org/pdf/1811.06347.pdf
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0895

The gROC curve and the optimal classification.

Autoři: Martínez-Camblor, Pablo Pérez-Fernández, Sonia

Zdroj: Int J Biostat ; ISSN:1557-4679

Témata: ROC curve, binary classification problem, eROC curve, gROC curve, optimal transformation

Relation: https://doi.org/10.1515/ijb-2025-0016; https://pubmed.ncbi.nlm.nih.gov/41174954

Dostupnost: https://doi.org/10.1515/ijb-2025-0016
https://pubmed.ncbi.nlm.nih.gov/41174954

Comparison of NQE combined with SVC, NN, and QCNN classifiers. The table shows the number of test cases, comparison with classical classifiers, and data imbalance issues in this and previous work.

Autoři: Aninda Astuti Pin-Keng Shih Shan-Chih Lee a další

Témata: Medicine, Cell Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, solving intricate problems, improved execution time, cancer cell dissemination, neural quantum embedding, combines quantum computing, qnn algorithms compared, despite extensive research, identifying metastasis biomarkers, complex metastasis process, qml &# 8217, binary classification problem, binary classification, hybrid quantum, research delves, classical algorithms, study addresses, stage approach, offering potential, machine learning, high lethality, drawing inspiration, daunting task

Relation: https://figshare.com/articles/dataset/Comparison_of_NQE_combined_with_SVC_NN_and_QCNN_classifiers_The_table_shows_the_number_of_test_cases_comparison_with_classical_classifiers_and_data_imbalance_issues_in_this_and_previous_work_/29592839

Dostupnost: https://doi.org/10.1371/journal.pone.0327928.t004
https://figshare.com/articles/dataset/Comparison_of_NQE_combined_with_SVC_NN_and_QCNN_classifiers_The_table_shows_the_number_of_test_cases_comparison_with_classical_classifiers_and_data_imbalance_issues_in_this_and_previous_work_/29592839

Classification performance results using 5-fold cross-validation for the training datasets after applying the data imbalance tool, SMOTE and NQE for data embedding. The values without the ‘±’ signs represent the results for the ‘test’ set.

Autoři: Aninda Astuti Pin-Keng Shih Shan-Chih Lee a další

Témata: Medicine, Cell Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, solving intricate problems, improved execution time, cancer cell dissemination, neural quantum embedding, combines quantum computing, qnn algorithms compared, despite extensive research, identifying metastasis biomarkers, complex metastasis process, qml &# 8217, binary classification problem, binary classification, hybrid quantum, research delves, classical algorithms, study addresses, stage approach, offering potential, machine learning, high lethality, drawing inspiration, daunting task

Dostupnost: https://doi.org/10.1371/journal.pone.0327928.t002
https://figshare.com/articles/dataset/Classification_performance_results_using_5-fold_cross-validation_for_the_training_datasets_after_applying_the_data_imbalance_tool_SMOTE_and_NQE_for_data_embedding_The_values_without_the_signs_represent_the_results_for_the_test_set_/29592833

The results of the ten performance metrics for NQE+SVC vs NQE+QSVC based on classifying miRNA expression profiles.

Autoři: Aninda Astuti Pin-Keng Shih Shan-Chih Lee a další

Témata: Medicine, Cell Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, solving intricate problems, improved execution time, cancer cell dissemination, neural quantum embedding, combines quantum computing, qnn algorithms compared, despite extensive research, identifying metastasis biomarkers, complex metastasis process, qml &# 8217, binary classification problem, binary classification, hybrid quantum, research delves, classical algorithms, study addresses, stage approach, offering potential, machine learning, high lethality, drawing inspiration, daunting task

Relation: https://figshare.com/articles/figure/The_results_of_the_ten_performance_metrics_for_NQE_SVC_vs_NQE_QSVC_based_on_classifying_miRNA_expression_profiles_/29592827

Dostupnost: https://doi.org/10.1371/journal.pone.0327928.g009
https://figshare.com/articles/figure/The_results_of_the_ten_performance_metrics_for_NQE_SVC_vs_NQE_QSVC_based_on_classifying_miRNA_expression_profiles_/29592827

The train and test kernel matrix matrices.

Autoři: Aninda Astuti Pin-Keng Shih Shan-Chih Lee a další

Témata: Medicine, Cell Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, solving intricate problems, improved execution time, cancer cell dissemination, neural quantum embedding, combines quantum computing, qnn algorithms compared, despite extensive research, identifying metastasis biomarkers, complex metastasis process, qml &# 8217, binary classification problem, binary classification, hybrid quantum, research delves, classical algorithms, study addresses, stage approach, offering potential, machine learning, high lethality, drawing inspiration, daunting task

Relation: https://figshare.com/articles/figure/The_train_and_test_kernel_matrix_matrices_/29592824

Dostupnost: https://doi.org/10.1371/journal.pone.0327928.g008
https://figshare.com/articles/figure/The_train_and_test_kernel_matrix_matrices_/29592824

Comparison of performance metrics, SVC vs QSVC after using NQE for data embedding. Bold-faced fonts denote that the classifier achieves better performance.

Autoři: Aninda Astuti Pin-Keng Shih Shan-Chih Lee a další

Témata: Medicine, Cell Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, solving intricate problems, improved execution time, cancer cell dissemination, neural quantum embedding, combines quantum computing, qnn algorithms compared, despite extensive research, identifying metastasis biomarkers, complex metastasis process, qml &# 8217, binary classification problem, binary classification, hybrid quantum, research delves, classical algorithms, study addresses, stage approach, offering potential, machine learning, high lethality, drawing inspiration, daunting task

Dostupnost: https://doi.org/10.1371/journal.pone.0327928.t001
https://figshare.com/articles/dataset/Comparison_of_performance_metrics_SVC_vs_QSVC_after_using_NQE_for_data_embedding_Bold-faced_fonts_denote_that_the_classifier_achieves_better_performance_/29592830

Training loss results plotted against the number of iterations.

Autoři: Aninda Astuti Pin-Keng Shih Shan-Chih Lee a další

Témata: Medicine, Cell Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, solving intricate problems, improved execution time, cancer cell dissemination, neural quantum embedding, combines quantum computing, qnn algorithms compared, despite extensive research, identifying metastasis biomarkers, complex metastasis process, qml &# 8217, binary classification problem, binary classification, hybrid quantum, research delves, classical algorithms, study addresses, stage approach, offering potential, machine learning, high lethality, drawing inspiration, daunting task

Relation: https://figshare.com/articles/figure/Training_loss_results_plotted_against_the_number_of_iterations_/29592821

Dostupnost: https://doi.org/10.1371/journal.pone.0327928.g007
https://figshare.com/articles/figure/Training_loss_results_plotted_against_the_number_of_iterations_/29592821

The results of the ten performance metrics for NQE+SVC vs NQE+QSVC using (a) 9, (b) 10, (c) 11, and (d) 12 principle components, respectively.

Autoři: Aninda Astuti Pin-Keng Shih Shan-Chih Lee a další

Témata: Medicine, Cell Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, solving intricate problems, improved execution time, cancer cell dissemination, neural quantum embedding, combines quantum computing, qnn algorithms compared, despite extensive research, identifying metastasis biomarkers, complex metastasis process, qml &# 8217, binary classification problem, binary classification, hybrid quantum, research delves, classical algorithms, study addresses, stage approach, offering potential, machine learning, high lethality, drawing inspiration, daunting task

Relation: https://figshare.com/articles/figure/The_results_of_the_ten_performance_metrics_for_NQE_SVC_vs_NQE_QSVC_using_a_9_b_10_c_11_and_d_12_principle_components_respectively_/29592818

Dostupnost: https://doi.org/10.1371/journal.pone.0327928.g006
https://figshare.com/articles/figure/The_results_of_the_ten_performance_metrics_for_NQE_SVC_vs_NQE_QSVC_using_a_9_b_10_c_11_and_d_12_principle_components_respectively_/29592818

The workflow of integrating NQE with QSVC and QNN classifiers.

Autoři: Aninda Astuti Pin-Keng Shih Shan-Chih Lee a další

Témata: Medicine, Cell Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, solving intricate problems, improved execution time, cancer cell dissemination, neural quantum embedding, combines quantum computing, qnn algorithms compared, despite extensive research, identifying metastasis biomarkers, complex metastasis process, qml &# 8217, binary classification problem, binary classification, hybrid quantum, research delves, classical algorithms, study addresses, stage approach, offering potential, machine learning, high lethality, drawing inspiration, daunting task

Relation: https://figshare.com/articles/figure/The_workflow_of_integrating_NQE_with_QSVC_and_QNN_classifiers_/29592809

Dostupnost: https://doi.org/10.1371/journal.pone.0327928.g003
https://figshare.com/articles/figure/The_workflow_of_integrating_NQE_with_QSVC_and_QNN_classifiers_/29592809

Training loss results plotted against the number of iterations for (a) 9, (b) 10, (c) 11, and (d) 12 principal components.

Autoři: Aninda Astuti Pin-Keng Shih Shan-Chih Lee a další

Témata: Medicine, Cell Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, solving intricate problems, improved execution time, cancer cell dissemination, neural quantum embedding, combines quantum computing, qnn algorithms compared, despite extensive research, identifying metastasis biomarkers, complex metastasis process, qml &# 8217, binary classification problem, binary classification, hybrid quantum, research delves, classical algorithms, study addresses, stage approach, offering potential, machine learning, high lethality, drawing inspiration, daunting task

Relation: https://figshare.com/articles/figure/Training_loss_results_plotted_against_the_number_of_iterations_for_a_9_b_10_c_11_and_d_12_principal_components_/29592815

Dostupnost: https://doi.org/10.1371/journal.pone.0327928.g005
https://figshare.com/articles/figure/Training_loss_results_plotted_against_the_number_of_iterations_for_a_9_b_10_c_11_and_d_12_principal_components_/29592815

The quantum embedding circuit designed for the miRNA dataset, featuring three layers of repeated Hadamard (H), RZ, and control-NOT unitary gates.

Autoři: Aninda Astuti Pin-Keng Shih Shan-Chih Lee a další

Témata: Medicine, Cell Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, solving intricate problems, improved execution time, cancer cell dissemination, neural quantum embedding, combines quantum computing, qnn algorithms compared, despite extensive research, identifying metastasis biomarkers, complex metastasis process, qml &# 8217, binary classification problem, binary classification, hybrid quantum, research delves, classical algorithms, study addresses, stage approach, offering potential, machine learning, high lethality, drawing inspiration, daunting task

Dostupnost: https://doi.org/10.1371/journal.pone.0327928.g004
https://figshare.com/articles/figure/The_quantum_embedding_circuit_designed_for_the_miRNA_dataset_featuring_three_layers_of_repeated_Hadamard_H_RZ_and_control-NOT_unitary_gates_/29592812

Data embedding by using Neural Quantum Embedding (NQE).

Autoři: Aninda Astuti Pin-Keng Shih Shan-Chih Lee a další

Témata: Medicine, Cell Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, solving intricate problems, improved execution time, cancer cell dissemination, neural quantum embedding, combines quantum computing, qnn algorithms compared, despite extensive research, identifying metastasis biomarkers, complex metastasis process, qml &# 8217, binary classification problem, binary classification, hybrid quantum, research delves, classical algorithms, study addresses, stage approach, offering potential, machine learning, high lethality, drawing inspiration, daunting task

Relation: https://figshare.com/articles/figure/Data_embedding_by_using_Neural_Quantum_Embedding_NQE_/29592806

Dostupnost: https://doi.org/10.1371/journal.pone.0327928.g002
https://figshare.com/articles/figure/Data_embedding_by_using_Neural_Quantum_Embedding_NQE_/29592806

The workflow diagram for the gene expression biomarker study which involve using principal component analysis (PCA) to reduce the number of features (principal components), thus requiring fewer qubits.

Autoři: Aninda Astuti Pin-Keng Shih Shan-Chih Lee a další

Témata: Medicine, Cell Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, solving intricate problems, improved execution time, cancer cell dissemination, neural quantum embedding, combines quantum computing, qnn algorithms compared, despite extensive research, identifying metastasis biomarkers, complex metastasis process, qml &# 8217, binary classification problem, binary classification, hybrid quantum, research delves, classical algorithms, study addresses, stage approach, offering potential, machine learning, high lethality, drawing inspiration, daunting task

Relation: https://figshare.com/articles/figure/The_workflow_diagram_for_the_gene_expression_biomarker_study_which_involve_using_principal_component_analysis_PCA_to_reduce_the_number_of_features_principal_components_thus_requiring_fewer_qubits_/29592803

Dostupnost: https://doi.org/10.1371/journal.pone.0327928.g001
https://figshare.com/articles/figure/The_workflow_diagram_for_the_gene_expression_biomarker_study_which_involve_using_principal_component_analysis_PCA_to_reduce_the_number_of_features_principal_components_thus_requiring_fewer_qubits_/29592803

The results of 10 performance metrics from the miRNA biomarker study (M0 vs M1), comparing NQE+NN and NQE+QNN in the 6 PCs case.

Autoři: Aninda Astuti Pin-Keng Shih Shan-Chih Lee a další

Témata: Medicine, Cell Biology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, solving intricate problems, improved execution time, cancer cell dissemination, neural quantum embedding, combines quantum computing, qnn algorithms compared, despite extensive research, identifying metastasis biomarkers, complex metastasis process, qml &# 8217, binary classification problem, binary classification, hybrid quantum, research delves, classical algorithms, study addresses, stage approach, offering potential, machine learning, high lethality, drawing inspiration, daunting task

Relation: https://figshare.com/articles/figure/The_results_of_10_performance_metrics_from_the_miRNA_biomarker_study_M0_vs_M1_comparing_NQE_NN_and_NQE_QNN_in_the_6_PCs_case_/29592800

Dostupnost: https://doi.org/10.1371/journal.pone.0327928.s015
https://figshare.com/articles/figure/The_results_of_10_performance_metrics_from_the_miRNA_biomarker_study_M0_vs_M1_comparing_NQE_NN_and_NQE_QNN_in_the_6_PCs_case_/29592800