„supervised classification“
Suchergebnisse
761 Treffer
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Semi-supervised active learning for sound classification in hybrid learning environments
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Thumbs up, thumbs down: non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning
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Stacked Fusion Supervised Auto-encoder with an Additional Classification Layer
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Maschinelle Lernmethoden für Klassifizierungsprobleme – Perspektiven für die mathematische Modellierung mit Schülerinnen und Schülern
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A Safe Semi-supervised Classification Algorithm Using Multiple Classifiers Ensemble
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scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data
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Attention-Based Generative Adversarial Network for Semi-supervised Image Classification
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Semi-supervised Fuzzy Min–Max Neural Network for Data Classification
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Supervised feature learning by adversarial autoencoder approach for object classification in dual X-ray image of luggage
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An exudate detection method for diagnosis risk of diabetic macular edema in retinal images using feature-based and supervised classification
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Semi-supervised classification of multiple kernels embedding manifold information
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A Deep Neural Network Based on ELM for Semi-supervised Learning of Image Classification
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Exploiting the value of class labels on high-dimensional feature spaces: topic models for semi-supervised document classification
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Classification of Lidar Measurements Using Supervised and Unsupervised Machine Learning Methods
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Supervised cross-fusion method: a new triplet approach to fuse thermal, radar, and optical satellite data for land use classification
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A semi-supervised machine learning framework for microRNA classification
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Semi-supervised superpixel classification for medical images segmentation: application to detection of glaucoma disease
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Optimization of Classifiers using Genetic Programming – Developing Optimal Composite Classifiers using Genetic Programming for Pattern Classification problems
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COMPARISON OF SEVERAL REMOTE SENSING IMAGE CLASSIFICATION METHODS BASED ON ENVI
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MAPPING URBAN AREAS USING DENSE TIME SERIES OF LANDSAT IMAGES AND GOOGLE EARTH ENGINE