Results 271 to 280 of about 212,177 (318)
Portable head CT motion artifact correction via diffusion-based generative model. [PDF]
Chen Z +7 more
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Leveraging a deep learning generative model to enhance recognition of minor asphalt defects. [PDF]
Cano-Ortiz S +4 more
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Demixer: a probabilistic generative model to delineate different strains of a microbial species in a mixed infection sample. [PDF]
Vp B, Narayanan M.
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A Personalised 3D+t Mesh Generative Model for Unveiling Normal Heart Dynamics
Qiao M +5 more
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The authors introduce generic market models featuring forward rates that span periods other than the classical LIBOR and swap periods. The main outset of the paper is that a model is deemed proper for a certain interest rate derivative if the volatility of a rate that appears in the contract payoff has been calibrated correctly to the market volatility.
Raoul Pietersz, Marcel van Regenmortel
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Generative Model for Node Generation
Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence, 2020We present a generative model applied to graph-structured data for node generation by incorporating the graph convolutional architecture and semi-supervised learning with variational auto-encoder. This idea is motivated by successful applications of deep generative models for images and speeches.
Boyu Zhang, Xin Wang 0086, Kai Liu
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Fundamenta Informaticae, 1999
The paper considers adjacency relation systems introduced by Wanne [10] (1998). The main problems studied are how to characterize the sets of relations, which uniquely define all other adjacency relations, and how one can determine whether a given set of relations satisfies this property. The paper contains the solutions of both questions.
Merja Wanne, Matti Linna
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The paper considers adjacency relation systems introduced by Wanne [10] (1998). The main problems studied are how to characterize the sets of relations, which uniquely define all other adjacency relations, and how one can determine whether a given set of relations satisfies this property. The paper contains the solutions of both questions.
Merja Wanne, Matti Linna
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2019
Neuroscience studies inspire that structures are needed in the hidden space of deep learning models. In this paper, we propose a capsule restricted Boltzmann machine and a capsule Helmholtz machine by replacing individual hidden variables with encapsulated groups of hidden variables.
Li, Yifeng, Zhu, Xiaodan
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Neuroscience studies inspire that structures are needed in the hidden space of deep learning models. In this paper, we propose a capsule restricted Boltzmann machine and a capsule Helmholtz machine by replacing individual hidden variables with encapsulated groups of hidden variables.
Li, Yifeng, Zhu, Xiaodan
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Current Opinion in Psychology, 2018
The General Aggression Model (GAM) is a comprehensive, integrative, framework for understanding aggression. It considers the role of social, cognitive, personality, developmental, and biological factors on aggression. Proximate processes of GAM detail how person and situation factors influence cognitions, feelings, and arousal, which in turn affect ...
Johnie J, Allen +2 more
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The General Aggression Model (GAM) is a comprehensive, integrative, framework for understanding aggression. It considers the role of social, cognitive, personality, developmental, and biological factors on aggression. Proximate processes of GAM detail how person and situation factors influence cognitions, feelings, and arousal, which in turn affect ...
Johnie J, Allen +2 more
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Overlapping Generations Model of General Equilibrium [PDF]
The consumption loan model that Paul Samuelson introduced in 1958 to analyse the rate of interest, with or without the social contrivance of money, has developed into what is without doubt the most important and influential paradigm in neoclassical general equilibrium theory outside of the Arrow—Debreu economy.
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