Results 221 to 230 of about 185,676 (265)
Steering Protein Generative Models at Test-Time for Guided AAV2 Capsid Design. [PDF]
Pac Symp BiocomputViggiano B +6 more
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Continuous discovery of novel 2D materials via dual active learning-driven generative models. [PDF]
Natl Sci RevChen X +6 more
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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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Finance and Stochastics, 2006 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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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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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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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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Generalized plaid models [PDF]
Neurocomputing, 2012 The problem of two-way clustering has attracted considerable attention in diverse research areas such as functional genomics, text mining, and market research, where people want to simultaneously cluster rows and columns of a data matrix. In this paper, we propose a family of generalized plaid models for two-way clustering, where the layer estimation ...
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Overlapping Generations Model of General Equilibrium [PDF]
, 1987 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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1995
Linguistic engineering presupposes lexical resources. For translation, it is highly desirable that a Machine Translation engine and human translators should have access to the same dictionary information. The present paper describes a multilingual dictionary model, which integrates information for use by both humans and a variety of NLP systems.
Daniel Bachut +12 more
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Linguistic engineering presupposes lexical resources. For translation, it is highly desirable that a Machine Translation engine and human translators should have access to the same dictionary information. The present paper describes a multilingual dictionary model, which integrates information for use by both humans and a variety of NLP systems.
Daniel Bachut +12 more
openaire +2 more sources