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Consumer credit evaluation model for free trade ports by a sparse attention transformer and graph neural network. [PDF]
Sci RepWu M, Sabri MF, Meng C, Wang S.
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Statistical Relational Learning
2014This chapter presents background on SRL models on which our work is based on. We start with a brief technical background on first-order logic and graphical models. In Sect. 2.2, we present an overview of SRL models followed by details on two popular SRL models.
Sriraam Natarajan +3 more
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A Survey on Statistical Relational Learning
2010The vast majority of work in Machine Learning has focused on propositional data which is assumed to be identically and independently distributed, however, many real world datasets are relational and most real world applications are characterized by the presence of uncertainty and complex relational structure where the data distribution is neither ...
Hassan Khosravi, Bahareh Bina
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Statistical Relational Learning for Game Theory
IEEE Transactions on Computational Intelligence and AI in Games, 2016In this paper, we motivate the use of models and algorithms from the area of Statistical Relational Learning (SRL) as a framework for the description and the analysis of games. SRL combines the powerful formalism of first-order logic with the capability of probabilistic graphical models in handling uncertainty in data and representing dependencies ...
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A statistical relational model for trust learning
International Joint Conference on Autonomous Agents and Multiagent Systems, 2008We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several relations that exist between the agent to be trusted (trustee) and the state of the environment.
Rettinger, Achim +2 more
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Statistical Relational Learning for Handwriting Recognition
2015We introduce a novel application of handwriting recognition for Statistical Relational Learning. The proposed framework captures the intrinsic structure of handwriting by modeling fundamental character shape representations and their relationships using first-order logic.
Arti Shivram +3 more
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