Format:
“...Linköping Studies in Science and Technology. Dissertations Series...”
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Format:
Table of Contents: “... Neural Networks -- Deep learning basics -- Loss functions -- Forward and backward propagation -- Data pre...”
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Table of Contents: “...: Ensemble learning applied to quant equity: gradient boosting in a multi-factor framework Chapter 8: A...”
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Table of Contents: “... -- 1.2.2 Generative image modeling -- 1.3 Deep learning -- 1.3.1 Training data -- 1.4 Objectives -- 1...”
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Table of Contents: “... -- Acknowledgments -- Chapter 1: Machine Learning -- Key Terminology -- Developing a Learning Machine -- Machine...”
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Format:
Table of Contents: “... Management -- 9 Discussion -- 10 Acknowledgement -- References -- 5 Deep Learning in Resource and Data...”
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Table of Contents: “... -- References -- A Novel In Situ Machine Learning Framework for Intelligent Data Capture and Event Detection...”
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Table of Contents: “... -- Learning and Parameteric Models -- Gaussian Processes -- Deep Learning -- Chapter 3: Decision, Planning...”
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Format:
Table of Contents: “... Carlo Studies with a Fixed Output Error Model -- 9.1.2 Monte Carlo Studies with Different Output Error...”
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Format:
Table of Contents: “....1 Transforming Communications in Times of Deep Mediatization -- 1.2 Taking a Figurational Approach -- 1...”
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Format:
Table of Contents: “... Exploration -- 1.3 Interaction Between Earth's Endogenic and Exogenic Processes from a Deep Space Perspective...”
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Format:
Table of Contents: “....8 Deep Learning for Smart and Sustainable Agriculture -- References -- Electrical Power Systems -- 1...”
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Format:
Table of Contents: “.... Exploring the Unforeseen and Paving the Way to a Sustainable Future -- 1 Introduction -- 2 Defining...”
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Format:
Table of Contents: “... -- 2.4.3 Model-Free AIXI -- 2.4.4 Deep Learning -- 2.5 Fundamental Challenges -- 2.5.1 Optimality...”
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Format:
Table of Contents: “... -- Learning to Make Appetizers After Getting into a Vocational School -- Hardworking and Outgoing...”
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Table of Contents: “....2 Real-World Machine Learning -- 4 Challenges for Deep Learning -- 4.1 Compositionality -- 4.2 Strong...”
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Table of Contents: “... -- 6.3 Case Study: UAV Deployment and Resource Optimization for MEC at a Wind Farm -- 6.3.1 UAV...”
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Format:
Table of Contents: “... - A CASE STUDY USING MACHINE LEARNING ALGORTHIMS -- Predictive Modeling of Public Opinion...”
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Format:
Table of Contents: “... Introduction -- 2 Anomaly Detection and Explainability in Deep Learning....”
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Format:
Table of Contents: “... -- Bayesian methods -- Reducing uncertainty using a spatial model -- Deep learning in diffusion MRI...”
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