Articles with "information aggregation" as a keyword



A compatibility criterion for optimal control and information aggregation in hierarchical network systems

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Published in 2025 at "Asian Journal of Control"

DOI: 10.1002/asjc.3786

Abstract: Large swarms often adopt a hierarchical network structure that incorporates information aggregation. Although this approach offers significant advantages in terms of communication efficiency and computational complexity, it can also lead to degradation due to information… read more here.

Keywords: control; information; information aggregation; hierarchical network ... See more keywords

Strategic information aggregation and learning from prices

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Published in 2019 at "Journal of Corporate Finance"

DOI: 10.1016/j.jcorpfin.2019.05.002

Abstract: Abstract This paper studies firms' learning from stock prices and corporate investment when managers have different precisions about their investment opportunities. When informed traders and firm managers are strategic, private information is not fully incorporated… read more here.

Keywords: strategic information; aggregation learning; managerial information; information aggregation ... See more keywords
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Marketplace Lending, Information Aggregation, and Liquidity

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Published in 2020 at "Review of Financial Studies"

DOI: 10.1093/rfs/hhaa101

Abstract: We address a puzzle whereby lending marketplaces, aimed at directly connecting retail lenders and borrowers, retreat from auctions and take on the role of price setting and credit allocation, despite evidence that retail investors possess… read more here.

Keywords: liquidity; information; lending information; marketplace lending ... See more keywords

Remote Sensing Small Object Detection Based on Multicontextual Information Aggregation

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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3543189

Abstract: Due to wide field of view and background confusion, remote sensing objects are small and densely packed, hence commonly used detection methods detecting small objects are not satisfactory. In this article, we propose the multicontextual… read more here.

Keywords: detection; information; remote sensing; aggregation ... See more keywords

Multi-Level Information Aggregation Based Graph Attention Networks Towards Fake Speech Detection

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Published in 2024 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2024.3408676

Abstract: It is widely acknowledged that distinguishing genuine speech from spoofed speech encompasses various subbands and temporal segments within speech signals. However, prevailing spoofing detection methods tend to oversimplify the relationships between these cues by employing… read more here.

Keywords: detection; graph attention; attention networks; aggregation ... See more keywords

Large-Scale Multi-Agent Learning-Based Cloud–Edge Collaborative Distributed PV Data Compression and Information Aggregation for Multimodal Network in Power Systems

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Published in 2025 at "IEEE Transactions on Consumer Electronics"

DOI: 10.1109/tce.2024.3384438

Abstract: To ensure the large-scale integration of distributed photovoltaic (PV) into power system, it is imperative to collect and aggregate real-time operational data. However, the substantial volume of data imposes significant stress on cloud-edge collaborative framework… read more here.

Keywords: data compression; compression; large scale; information aggregation ... See more keywords

A Framework for Efficient Information Aggregation in Smart Grid

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Published in 2019 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2018.2866302

Abstract: The two-way communication of information between agents in the smart grid, while making way for better monitoring and control, comes at the cost of elevated communication traffic. Compressive sensing is a technique that exploits sparsity… read more here.

Keywords: compression; smart grid; framework efficient; information aggregation ... See more keywords

Hypergraph Structural Information Aggregation Generative Adversarial Networks for Diagnosis and Pathogenetic Factors Identification of Alzheimer's Disease With Imaging Genetic Data.

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Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3212700

Abstract: Alzheimer's disease (AD) is a neurodegenerative disease with profound pathogenetic causes. Imaging genetic data analysis can provide comprehensive insights into its causes. To fully utilize the multi-level information in the data, this article proposes a… read more here.

Keywords: information; structural information; information aggregation; disease ... See more keywords

A Local Information Aggregation-Based Multiagent Reinforcement Learning for Robot Swarm Dynamic Task Allocation

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Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2025.3558282

Abstract: In this article, we explore how to optimize task allocation for robot swarms in dynamic environments, emphasizing the necessity of formulating robust, flexible, and scalable strategies for robot cooperation. We introduce a novel framework using… read more here.

Keywords: task; local information; reinforcement learning; information aggregation ... See more keywords