AIMC Topic: Support Vector Machine

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Systematic artifacts in support vector regression-based compound potency prediction revealed by statistical and activity landscape analysis.

PloS one Mar 5, 2015
Support vector machines are a popular machine learning method for many classification tasks in biology and chemistry. In addition, the support vector regression (SVR) variant is widely used for numerical property predictions. In chemoinformatics and ...
Drug Evaluation, Preclinical Drug Discovery Artifacts Humans Support Vector Machine Structure-Activity Relationship
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Adaptive myoelectric pattern recognition toward improved multifunctional prosthesis control.

Medical engineering & physics Mar 3, 2015
The non-stationary property of electromyography (EMG) signals in real life settings usually hinders the clinical application of the myoelectric pattern recognition for prosthesis control. The classical EMG pattern recognition approach consists of two...
Support Vector Machine Muscle, Skeletal Electromyography Humans Movement Artificial Limbs Arm
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Hardware-amenable structural learning for spike-based pattern classification using a simple model of active dendrites.

Neural computation Mar 3, 2015
This letter presents a spike-based model that employs neurons with functionally distinct dendritic compartments for classifying high-dimensional binary patterns. The synaptic inputs arriving on each dendritic subunit are nonlinearly processed before ...
Algorithms Animals Support Vector Machine Nonlinear Dynamics Synapses Dendrites Models, Neurological Action Potentials Neurons
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Efficient prediction of progesterone receptor interactome using a support vector machine model.

International journal of molecular sciences Mar 3, 2015
Protein-protein interaction (PPI) is essential for almost all cellular processes and identification of PPI is a crucial task for biomedical researchers. So far, most computational studies of PPI are intended for pair-wise prediction. Theoretically, p...
Receptors, Progesterone Protein Interaction Domains and Motifs Proteome Humans Support Vector Machine Area Under Curve ROC Curve Cluster Analysis Receptors, Androgen Receptors, Estrogen
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Non-invasive health status detection system using Gabor filters based on facial block texture features.

Journal of medical systems Feb 27, 2015
Blood tests allow doctors to check for certain diseases and conditions. However, using a syringe to extract the blood can be deemed invasive, slightly painful, and its analysis time consuming. In this paper, we propose a new non-invasive system to de...
Image Interpretation, Computer-Assisted Face Humans Support Vector Machine Health Status
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Applying under-sampling techniques and cost-sensitive learning methods on risk assessment of breast cancer.

Journal of medical systems Feb 25, 2015
Breast cancer is one of the most common cause of cancer mortality. Early detection through mammography screening could significantly reduce mortality from breast cancer. However, most of screening methods may consume large amount of resources. We pro...
Menstruation Contraceptives, Oral, Hormonal Estrogen Replacement Therapy Early Detection of Cancer Humans Predictive Value of Tests Genetic Predisposition to Disease Female Breast Feeding Bayes Theorem Aged Support Vector Machine Data Mining Breast Neoplasms Age Factors Body Weights and Measures Middle Aged Risk Assessment
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Image segmentation and classification of white blood cells with the extreme learning machine and the fast relevance vector machine.

Artificial cells, nanomedicine, and biotechnology Feb 24, 2015
White blood cells (WBCs) or leukocytes are an important part of the body's defense against infectious organisms and foreign substances. WBC segmentation is a challenging issue because of the morphological diversity of WBCs and the complex and uncerta...
Humans Image Processing, Computer-Assisted Support Vector Machine Leukocytes
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Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 24, 2015
The high number of false positives and the resulting number of avoidable breast biopsies are the major problems faced by current mammography Computer Aided Detection (CAD) systems. False positive reduction is not only a requirement for mass but also ...
False Positive Reactions Breast Neoplasms Female Humans Mammography Reproducibility of Results Radiographic Image Enhancement Sensitivity and Specificity Algorithms Radiographic Image Interpretation, Computer-Assisted Support Vector Machine Computer Simulation Pattern Recognition, Automated Models, Statistical
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Lung cancer prediction using neural network ensemble with histogram of oriented gradient genomic features.

TheScientificWorldJournal Feb 23, 2015
This paper reports an experimental comparison of artificial neural network (ANN) and support vector machine (SVM) ensembles and their "nonensemble" variants for lung cancer prediction. These machine learning classifiers were trained to predict lung c...
Carcinoma, Non-Small-Cell Lung Biomarkers, Tumor Humans ErbB Receptors Lung Neoplasms Mutation Neural Networks, Computer Proto-Oncogene Proteins p21(ras) Tumor Suppressor Protein p53 Support Vector Machine
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The construction of support vector machine classifier using the firefly algorithm.

Computational intelligence and neuroscience Feb 23, 2015
The setting of parameters in the support vector machines (SVMs) is very important with regard to its accuracy and efficiency. In this paper, we employ the firefly algorithm to train all parameters of the SVM simultaneously, including the penalty para...
Support Vector Machine Algorithms Artificial Intelligence Pattern Recognition, Automated Diagnosis, Computer-Assisted
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