Results 21 to 30 of about 2,159,056 (285)
Deep-Based Conditional Probability Density Function Forecasting of Residential Loads
IEEE Transactions on Smart Grid, 2020 This paper proposes a direct model for conditional probability density forecasting of residential loads, based on a deep mixture network. Probabilistic residential load forecasting can provide comprehensive information about future uncertainties in ...
M. Afrasiabi +5 more
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Journal of Educational Research in Mathematics, 2021 The purpose of this study is to propose and discuss the pedagogical idea of introducing conditional probability with the relative frequency approach. This study developed a learning activity and simulation using the frequency tree diagram and implemented
Inyong Choi
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MethodsX, 2022 Bayesian analysis is one of the topics included in the subject “Environmental Risk Analysis” taught at the Faculty of Agronomy of the University of Buenos Aires, Argentina.
Daniela Laura Picardi
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Conditional probability of distributed surface rupturing during normal-faulting earthquakes [PDF]
Solid Earth, 2021 Coseismic surface faulting is a significant source of hazard for critical plants and distributive infrastructure; it may occur either on the principal fault or as distributed rupture on nearby faults.
M. F. Ferrario, F. Livio
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Calibrating Sequence likelihood Improves Conditional Language Generation [PDF]
International Conference on Learning Representations, 2022 Conditional language models are predominantly trained with maximum likelihood estimation (MLE), giving probability mass to sparsely observed target sequences.
Yao Zhao +5 more
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Remote Sensing, 2023 Bivariate data-driven methods have been widely used in landslide susceptibility analysis. However, the names, principles, and correlations of bivariate methods are still confused.
Langping Li, Hengxing Lan
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Subjunctive Conditional Probability [PDF]
Journal of Philosophical Logic, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Surface Form Competition: Why the Highest Probability Answer Isn’t Always Right [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 Large language models have shown promising results in zero-shot settings. For example, they can perform multiple choice tasks simply by conditioning on a question and selecting the answer with the highest probability.
Ari Holtzman +4 more
semanticscholar +1 more source
Universal Logic Expression and the Application of Conditional Probability
Computer Sciences & Mathematics Forum, 2023 In deep integration of universal logic and factor space theory, there has always been a theoretical problem that has not been adequately solved. Many results of the factor space theory are directly described in terms of the probability of statistical ...
Huacan He, Yiping Wang
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Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural Network
AAAI Conference on Artificial Intelligence, 2017 Visual sentiment analysis is raising more and more attention with the increasing tendency to express emotions through images. While most existing works assign a single dominant emotion to each image, we address the sentiment ambiguity by label ...
Jufeng Yang, Ming Sun, Xiaoxiao Sun
semanticscholar +1 more source