Results 41 to 50 of about 16,643,759 (245)
Logical Information Theory: New Logical Foundations for Information Theory [PDF]
here is a new theory of information based on logic. The definition of Shannon entropy as well as the notions on joint, conditional, and mutual entropy as defined by Shannon can all be derived by a uniform transformation from the corresponding formulas of
David Ellerman, Ellerman, David
core +1 more source
Associative memory cells and their working principle in the brain [version 1; referees: 2 approved]
The acquisition, integration and storage of exogenous associated signals are termed as associative learning and memory. The consequences and processes of associative thinking and logical reasoning based on these stored exogenous signals can be memorized ...
Jin-Hui Wang, Shan Cui
doaj +1 more source
An intelligent engineered probiotic platform is developed for the precision management of inflammatory bowel disease. By integrating surface‐displayed adhesins with an inflammation‐responsive CAT‐SOD‐GPx tripartite fusion system and mucosal repair factors, this programmable system achieves prolonged intestinal retention and multi‐pronged therapy.
Yuxi Wang +9 more
wiley +1 more source
Application of Generalized Partial Volume Estimation for Mutual Information based Registration of High Resolution SAR and Optical Imagery [PDF]
Mutual information (MI) has proven its effectiveness for automated multimodal image registration for numerous remote sensing applications like image fusion.
Reinartz, Peter, Suri, Sahil
core
How to Mine Information from Each Instance to Extract an Abbreviated and Credible Logical Rule
Decision trees are particularly promising in symbolic representation and reasoning due to their comprehensible nature, which resembles the hierarchical process of human decision making.
Limin Wang, Minghui Sun, Chunhong Cao
doaj +1 more source
After ischemic stroke, injured neurons transfer circMagi1 to endothelial cells through extracellular vesicles. Within endothelial cells, circMagi1 binds ANXA2 and enhances its engagement with TRIM65, promoting ANXA2 ubiquitination and proteasomal degradation to constrain angiogenic repair.
Youkun Bi +16 more
wiley +1 more source
Error Exponents and α-Mutual Information
Over the last six decades, the representation of error exponent functions for data transmission through noisy channels at rates below capacity has seen three distinct approaches: (1) Through Gallager’s E0 functions (with and without cost constraints); (2)
Sergio Verdú
core +1 more source
Improving the Minimum Free Energy Principle to the Maximum Information Efficiency Principle
Friston proposed the Minimum Free Energy Principle (FEP) based on the Variational Bayesian (VB) method. This principle emphasizes that the brain and behavior coordinate with the environment, promoting self-organization. However, it has a theoretical flaw,
Chenguang Lu
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Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo +3 more
wiley +1 more source
Toward Prompt-Enhanced Sentiment Analysis with Mutual Describable Information Between Aspects
Sentiment analysis aims to attain the sentiment polarity of the text, which is a coarse-grained approach and does not focus on the targets . On the other hand, an aspect-based sentiment analysis (ABSA) has recently gained boosting interest. The ABSA is a
Gaofei Xie +3 more
doaj +1 more source

