Photovoltaic power interval prediction with conditional error dependency using Bayesian optimized deep learning. [PDF]
Chen Y, Wang X, Huang R, You G.
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Industrial manufacturing processes have transformative effects on the components of food matrix. These transformations in food matrix and components have direct implications for quality assurance (QA), food quality (e.g., nutritional profile and texture), and food safety management (e.g., pathogen control and toxin mitigation). ABSTRACT This systematic
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Accurate remaining useful life prediction and uncertainty quantification for wind turbines using temporal convolutional variational deep Gaussian processes. [PDF]
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Understanding the effects of heat stress on yield and grain quality component traits in rice. [PDF]
Rohila JS, Su Q, Karthikeyan R.
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Variation in seed and kernel oil characteristics of wild Litsea cubeba influenced by major ecological factors across southern China. [PDF]
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A two-tier strategy for developing water deficit stress tolerant maize: hydroponics-based root phenotyping followed by rainfed field validation. [PDF]
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Re-Purposing a Modular Origami Manipulator Into an Adaptive Physical Computer for Machine Learning and Robotic Perception. [PDF]
Wang J, Li S.
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Facial emotion-based movie recommendation system using optimized compound scaling neural network with polynomial and RBF kernels. [PDF]
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Kernel online learning with adaptive kernel width
Neurocomputing, 2016This paper discusses a unified framework for kernel online learning (KOL) algorithm with adaptive kernels. Unlike the traditional KOL algorithms which applied a fixed kernel width in the training process, the kernel width is considered as an additional free parameter and can be adapted automatically.
Sumit Bam Shrestha, Qing Song
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An adaptive kernel width update for correntropy
The 2012 International Joint Conference on Neural Networks (IJCNN), 2012Correntropy, as an adaptive criterion of Information Theoretic Learning (ITL), has been successfully used in signal processing and machine learning. How to appropriately select the kernel width of correntropy is a crucial problem in correntropy applications. Existing kernel width selection methods are not suitable enough for this problem. In this paper,
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