Karl Friston,Thomas Parr,Conor Heins et al.
Karl Friston et al.
This technical note applies active inference to the problem of learning goal-directed behaviour from scratch, namely, de novo learning. By de novo learning, we mean discovering, directly from observations, the structure and parameters of a ...
Category Name Expansion and an Enhanced Multimodal Fusion Framework for Few-Shot Learning [0.03%]
基于类别名称扩展与增强的模态融合框架的Few-shot学习方法
Tianlei Gao,Lei Lyu,Xiaoyun Xie et al.
Tianlei Gao et al.
With the advancement of image processing techniques, few-shot learning (FSL) has gradually become a key approach to addressing the problem of data scarcity. However, existing FSL methods often rely on unimodal information under limited samp...
Continuous-Variable Quantum Key Distribution Based on N-APSK Modulation over Seawater Channel [0.03%]
基于海水信道N-APSK调制的连续变量量子密钥分发
Lei Mao,Zhangtao Liang,Zhiyue Zuo et al.
Lei Mao et al.
A continuous-variable quantum key distribution (CVQKD) can be realized over the seawater channel, but the transmission of quantum signals in seawater media exhibits significant attenuation effects. Therefore, we propose an N-symbol amplitud...
Ekaterina Kukleva,Vitaly Vanchurin
Ekaterina Kukleva
In artificial neural networks, the activation dynamics of non-trainable variables are strongly coupled to the learning dynamics of trainable variables. During the activation pass, the boundary neurons (e.g., input neurons) are mapped to the...
On the Application of a Hybrid Incomplete Exponential Sum to Aperiodic Hamming Correlation of Some Frequency-Hopping Sequences [0.03%]
关于混合不完全指数和在某些跳频序列的无周期汉明相关中应用的研究
Peihua Li,Hongyu Han
Peihua Li
Frequency-hopping sequences are essential in frequency-hopping spread spectrum communication systems due to their strong anti-interference capabilities, low probability of interception, and high confidentiality. Existing research has predom...
Tree-Hillclimb Search: An Efficient and Interpretable Threat Assessment Method for Uncertain Battlefield Environments [0.03%]
基于不确定战场环境的高效可解释威胁评估方法
Zuoxin Zeng,Jinye Peng,Qi Feng
Zuoxin Zeng
In uncertain battlefield environments, rapid and accurate detection, identification of hostile targets, and assessment of threat levels are crucial for supporting effective decision-making. Despite offering the advantage of structural trans...
Cross-Subject EEG Emotion Recognition Using SSA-EMS Algorithm for Feature Extraction [0.03%]
基于SSA-EMS算法的跨主题EEG情绪识别方法研究
Yuan Lu,Jingying Chen
Yuan Lu
This study proposes a novel SSA-EMS framework that integrates Singular Spectrum Analysis (SSA) with Effect-Matched Spatial Filtering (EMS), combining the noise-reduction capability of SSA with the dynamic feature extraction advantages of EM...
Entropy Methods on Finding Optimal Linear Combinations with an Application to Biomarkers [0.03%]
熵法寻找最优线性组合及其在生物标志物中的应用研究
Mehmet Sinan İyisoy,Pınar Özdemir
Mehmet Sinan İyisoy
Identifying an optimal linear combination of continuous variables is a key objective in various fields of research, such as medicine. This manuscript explores the use of information-theoretical approaches used to establish these linear comb...
Symbolic Analysis of the Quality of Texts Translated into a Language Preserving Vowel Harmony [0.03%]
元音和谐的语言中文本的符号质量分析
Kazuya Hayata
Kazuya Hayata
To date, the ordinal pattern-based method has been applied to problems in natural and social sciences. We report, for the first time to our knowledge, an attempt to apply this methodology to a topic in the humanities. Specifically, in an ef...
Review of Recent (2015-2024) Popular Entropy Definitions Applied to Physiological Signals [0.03%]
近期（2015-2024年）应用于生理信号的流行熵定义回顾
Dimitrios Platakis,George Manis
Dimitrios Platakis
Entropy estimation is widely used in time series analysis, particularly in the field of Biomedical Engineering. It plays a key role in analyzing a wide range of physiological signals and serves as a measure of signal complexity, which refle...