Search Results - "machines"

探討科學想像力融入國小自然科課程單元之成效：以「簡單力學－力與運動」單元為例 Effectiveness of an Instructional Experiment Using Scientific Imagination Integrated Into a Nature Science Course for Elementary School Students: An Example of "Simple Machines − Force and Motion" by 王佳琪 Chia-Chi Wang, 楊棨棠 Chi-Tang Yang

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Revealing Media Bias in News Articles NLP Techniques for Automated Frame Analysis / by Hamborg, Felix

Subjects: “…Machine learning.…”
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Early Detection of Faults in Induction Motors

Subjects: “…rotating machines…”
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Advances on Mechanics, Design Engineering and Manufacturing III Proceedings of the International Joint Conference on Mechanics, Design Engineering & Advanced Manufacturing, JCM 202...

Subjects: “…Manufacturing, Machines, Tools, Processes…”
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Advances on Mechanics, Design Engineering and Manufacturing III Proceedings of the International Joint Conference on Mechanics, Design Engineering & Advanced Manufacturing, JCM 202...

Subjects: “…Manufacturing, Machines, Tools, Processes…”
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Automation and Control Trends

Subjects: “…Machine learning bicssc…”
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The Science of Emotional Intelligence

Subjects: “…machine learning, eeg, emotions, education, leadership, stress…”
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Updates in Volcanology Transdisciplinary Nature of Volcano Science

Subjects: “…machine learning, geochemistry, fractionation, karst, cameroon…”
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Applied Artificial Neural Networks by Christian Dawson (Ed.)

Subjects: “…Machine Learning…”
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Culture et paradigme informatique : Lectures critiques de « by Pierre Mœglin

Subjects: “…machine univers…”
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Efficient Reinforcement Learning using Gaussian Processes by Deisenroth, Marc Peter

Subjects: “…machine learning…”
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Advances in Intelligent Data Analysis XVIII 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings /

Table of Contents: “…Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder -- Dual Sequential Variational Autoencoders for Fraud Detection -- A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks -- Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams -- GraphMDL: Graph Pattern Selection Based on Minimum Description Length -- Towards Content Sensitivity Analysis -- Gibbs Sampling Subjectively Interesting Tiles -- Even Faster Exact k-Means Clustering -- Ising-Based Consensus Clustering on Special Purpose Hardware -- Transfer Learning by Learning Projections from Target to Source -- Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs -- Towards Evaluation of CNN Performance in Semantically Meaningful Latent Spaces -- Vouw: Geometric Pattern Mining Using the MDL Principle -- A Consensus Approach to Improve NMF Document Clustering -- Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams -- Widening for MDL-Based Retail Signature Discovery -- Addressing the Resolution Limit and the Field of View Limit in Community Mining -- Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics -- Adversarial Attacks Hidden in Plain Sight -- Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code -- Overlapping Hierarchical Clustering (OHC) -- Digital Footprints of International Migration on Twitter -- Percolation-Based Detection of Anomalous Subgraphs in Complex Networks -- A Late-Fusion Approach to Community Detection in Attributed Networks -- Reconciling Predictions in the Regression Setting: an Application to Bus Travel Time Prediction -- A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization -- Actionable Subgroup Discovery and Urban Farm Optimization -- AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model -- Detection ofDerivative Discontinuities in Observational Data -- Improving Prediction with Causal Probabilistic Variables -- DO-U-Net for Segmentation and Counting -- Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media -- Event Recognition Based on Classification of Generated Image Captions -- Human-to-AI Coach: Improving Human Inputs to AI Systems -- Aleatoric and Epistemic Uncertainty with Random Forests -- Master your Metrics with Calibration -- Supervised Phrase-Boundary Embeddings -- Predicting Remaining Useful Life with Similarity-Based Priors -- Orometric Methods in Bounded Metric Data -- Interpretable Neuron Structuring with Graph Spectral Regularization -- Comparing the Preservation of Network Properties by Graph Embeddings -- Making Learners (More) Monotone -- Combining Machine Learning and Simulation to a Hybrid Modelling Approach -- LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification -- Angle-Based Crowding Degree Estimation for Many-Objective Optimization.…”
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Multimedia Forensics

Subjects: “…Machine learning.…”
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Learning to Quantify by Esuli, Andrea

Subjects: “…Machine learning bicssc…”
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Learning to Quantify by Esuli, Andrea

Subjects: “…Machine learning bicssc…”
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Kreative Maschinen und Urheberrecht Die Machine Learning-Werkschöpfungskette vom Training über Modellschutz bis zu Computational Creativity by Käde, Lisa

Subjects: “…Autonome Systeme Computational Creativity KI KI-Erzeugnisse Kreativität Künstliche Intelligenz Maschine Softwareentwicklung Text und Data Mining UrhG Machine Learning Urheberrecht…”
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Iridescent Kuwait Petro-Modernity and Urban Visual Culture since the Mid-Twentieth Century by Hindelang, Laura

Subjects: “…Man-made objects depicted in art (cityscapes, machines, etc) bicssc…”
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Iridescent Kuwait Petro-Modernity and Urban Visual Culture since the Mid-Twentieth Century by Hindelang, Laura

Subjects: “…Man-made objects depicted in art (cityscapes, machines, etc) bicssc…”
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Process Mining Workshops ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23-28, 2022, Revised Selected Papers /

Subjects: “…Machine learning.…”
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GIS and Spatial Analysis

Subjects: “…machine learning…”
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