„supervised learning“
Suchergebnisse
2.377 Treffer
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Deep Belief Nets in C++ and CUDA C: Volume 1 – Restricted Boltzmann Machines and Supervised Feedforward Networks
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Intelligent Optimal Adaptive Control for Mechatronic Systems
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Supervised learning technique for a mobile robot controller in a visual line tracking task
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A comparison study of supervised learning techniques for the approximation of high dimensional functions and feedback control
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Matching competency frameworks with job advertisements: a data-driven analysis of its practical application in the healthcare sector
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Audio Embeddings for Semi-Supervised Anomalous Sound Detection
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Interdisziplinäre Anwendung des supervised machine learning für nachfragerbezogene Analysen im Marketing
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Enhancing the classification of seismic events with supervised machine learning and feature importance
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Semi-supervised contour-driven broad learning system for autonomous segmentation of concealed prohibited baggage items
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Fusion-driven semi-supervised learning-based lung nodules classification with dual-discriminator and dual-generator generative adversarial network
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Identification of Multi-functional Therapeutic Peptides Based on Prototypical Supervised Contrastive Learning
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Quarta: quantum supervised and unsupervised learning for binary classification in domain-incremental learning
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π‐PhenoDrug: A Comprehensive Deep Learning‐Based Pipeline for Phenotypic Drug Screening in High‐Content Analysis
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Optimization meets machine learning: an exact algorithm for semi-supervised support vector machines
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An explainable and supervised machine learning model for prediction of red blood cell transfusion in patients during hip fracture surgery
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Domain generalization with semi-supervised learning for people-centric activity recognition
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Learning with Partially Labeled and Interdependent Data
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Advanced Intelligent Computing Theories and Applications – 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015. Proceedings, Part III
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Semi-Supervised Dependency Parsing
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Semi-Supervised Learning with Committees – Exploiting Unlabeled Data using Ensemble Learning Algorithms