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Found 6 papers, 0 papers with code
Mapping Information in Feature Extraction Transformation for Chirp Signal
The demonstration of the noise suppression in the iteration process and feature enhancement supports the effectiveness of the mapping information model.
RingMo-lite: A Remote Sensing Multi-task Lightweight Network with CNN-Transformer Hybrid Framework
It is combined by the Transformer module as a low-pass filter to extract global features of RS images through a dual-branch structure, and the CNN module as a stacked high-pass filter to extract fine-grained details effectively.
Learning Source Biases: Multi-sourced Misspecifications and Consequences
We study how a decision maker (DM) learns about the biases of unfamiliar information sources.
A Rational Inattention Theory of Echo Chamber
We develop a rational inattention theory of echo chamber, whereby players gather information about an uncertain state by allocating limited attention capacities across biased primary sources and other players.
Electoral Accountability and Selection with Personalized Information Aggregation
We study a model of electoral accountability and selection whereby heterogeneous voters aggregate incumbent politician's performance data into personalized signals through paying limited attention.
The Politics of Personalized News Aggregation
We study how personalized news aggregation for rational inattentive voters (NARI) affects policy polarization and public opinion.
