Incremental Affinity Propagation based on Cluster Consolidation and Stratification
Fuente:
arXiv
Saved in:
| Main Authors: | Castano, Silvana, Ferrara, Alfio, Montanelli, Stefano, Periti, Francesco |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Consolidated Volatility Prediction with Back Propagation Neural Network and Genetic Algorithm
by: Ke, Zong, et al.
Published: (2024)
by: Ke, Zong, et al.
Published: (2024)
Affinity Is Not Enough: Recovering the Free Energy Principle in Mixture-of-Experts
by: Wong, Man Yung
Published: (2026)
by: Wong, Man Yung
Published: (2026)
Equilibrium Propagation Without Limits
by: Litman, Elon
Published: (2025)
by: Litman, Elon
Published: (2025)
INCRT: An Incremental Transformer That Determines Its Own Architecture
by: Cirrincione, Giansalvo
Published: (2026)
by: Cirrincione, Giansalvo
Published: (2026)
Scaling Equilibrium Propagation to Deeper Neural Network Architectures
by: Elayedam, Sankar Vinayak, et al.
Published: (2025)
by: Elayedam, Sankar Vinayak, et al.
Published: (2025)
Recurrent Joint Embedding Predictive Architecture with Recurrent Forward Propagation Learning
by: Velarde, Osvaldo M, et al.
Published: (2024)
by: Velarde, Osvaldo M, et al.
Published: (2024)
Evolutionary Causal Discovery with Relative Impact Stratification for Interpretable Data Analysis
by: Deng, Ou, et al.
Published: (2024)
by: Deng, Ou, et al.
Published: (2024)
Evolving Multi-Channel Confidence-Aware Activation Functions for Missing Data with Channel Propagation
by: Sani, Naeem Shahabi, et al.
Published: (2026)
by: Sani, Naeem Shahabi, et al.
Published: (2026)
Traces Propagation: Memory-Efficient and Scalable Forward-Only Learning in Spiking Neural Networks
by: Pes, Lorenzo, et al.
Published: (2025)
by: Pes, Lorenzo, et al.
Published: (2025)
A Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual Learning
by: Masuyama, Naoki, et al.
Published: (2023)
by: Masuyama, Naoki, et al.
Published: (2023)
Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation
by: Ishikawa, Satoki, et al.
Published: (2024)
by: Ishikawa, Satoki, et al.
Published: (2024)
Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach
by: Gupta, Avisek, et al.
Published: (2018)
by: Gupta, Avisek, et al.
Published: (2018)
NK Hybrid Genetic Algorithm for Clustering
by: Tinós, Renato, et al.
Published: (2024)
by: Tinós, Renato, et al.
Published: (2024)
Towards Initialization-Agnostic Clustering with Iterative Adaptive Resonance Theory
by: Qu, Xiaozheng, et al.
Published: (2025)
by: Qu, Xiaozheng, et al.
Published: (2025)
Learning Self-Growth Maps for Fast and Accurate Imbalanced Streaming Data Clustering
by: Zhang, Yiqun, et al.
Published: (2024)
by: Zhang, Yiqun, et al.
Published: (2024)
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes
by: Yazdani, Danial, et al.
Published: (2024)
by: Yazdani, Danial, et al.
Published: (2024)
Sleep-Based Homeostatic Regularization for Stabilizing Spike-Timing-Dependent Plasticity in Recurrent Spiking Neural Networks
by: Massey, Andreas, et al.
Published: (2026)
by: Massey, Andreas, et al.
Published: (2026)
AdaptiveMDL-GenClust: A Robust Clustering Framework Integrating Normalized Mutual Information and Evolutionary Algorithms
by: Jahani, H., et al.
Published: (2024)
by: Jahani, H., et al.
Published: (2024)
Combining Relevance and Magnitude for Resource-Aware DNN Pruning
by: Chiasserini, Carla Fabiana, et al.
Published: (2024)
by: Chiasserini, Carla Fabiana, et al.
Published: (2024)
Learning Dynamics in Memristor-Based Equilibrium Propagation
by: Döll, Michael, et al.
Published: (2025)
by: Döll, Michael, et al.
Published: (2025)
The emergence of sparse attention: impact of data distribution and benefits of repetition
by: Zucchet, Nicolas, et al.
Published: (2025)
by: Zucchet, Nicolas, et al.
Published: (2025)
Prediction, Generation of WWTPs microbiome community structures and Clustering of WWTPs various feature attributes using DE-BP model, SiTime-GAN model and DPNG-EPMC ensemble clustering algorithm with modulation of microbial ecosystem health
by: Dai, Mingzhi, et al.
Published: (2025)
by: Dai, Mingzhi, et al.
Published: (2025)
Investigating the generative dynamics of energy-based neural networks
by: Tausani, Lorenzo, et al.
Published: (2023)
by: Tausani, Lorenzo, et al.
Published: (2023)
Feature selection based on cluster assumption in PU learning
by: Uchikoshi, Motonobu, et al.
Published: (2025)
by: Uchikoshi, Motonobu, et al.
Published: (2025)
RUMC: A Rule-based Classifier Inspired by Evolutionary Methods
by: Mokhtari, Melvin
Published: (2024)
by: Mokhtari, Melvin
Published: (2024)
Optimal feature rescaling in machine learning based on neural networks
by: Vitrò, Federico Maria, et al.
Published: (2024)
by: Vitrò, Federico Maria, et al.
Published: (2024)
Spike-based computation using classical recurrent neural networks
by: De Geeter, Florent, et al.
Published: (2023)
by: De Geeter, Florent, et al.
Published: (2023)
Y-Drop: A Conductance based Dropout for fully connected layers
by: Georgiou, Efthymios, et al.
Published: (2024)
by: Georgiou, Efthymios, et al.
Published: (2024)
Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention
by: Jakhmola, Yash, et al.
Published: (2024)
by: Jakhmola, Yash, et al.
Published: (2024)
Gradient-based inference of abstract task representations for generalization in neural networks
by: Hummos, Ali, et al.
Published: (2024)
by: Hummos, Ali, et al.
Published: (2024)
Utilizing Novelty-based Evolution Strategies to Train Transformers in Reinforcement Learning
by: Lorenc, Matyáš, et al.
Published: (2025)
by: Lorenc, Matyáš, et al.
Published: (2025)
Research on short-term load forecasting model based on VMD and IPSO-ELM
by: Xie, Qiang
Published: (2024)
by: Xie, Qiang
Published: (2024)
Using CSNNs to Perform Event-based Data Processing & Classification on ASL-DVS
by: Patel, Ria, et al.
Published: (2024)
by: Patel, Ria, et al.
Published: (2024)
Transforming Datasets to Requested Complexity with Projection-based Many-Objective Genetic Algorithm
by: Komorniczak, Joanna
Published: (2025)
by: Komorniczak, Joanna
Published: (2025)
Prototype-based interpretation of the functionality of neurons in winner-take-all neural networks
by: Sabzevar, Ramin Zarei, et al.
Published: (2020)
by: Sabzevar, Ramin Zarei, et al.
Published: (2020)
Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costs
by: Ruddick, Julian, et al.
Published: (2022)
by: Ruddick, Julian, et al.
Published: (2022)
Learning-to-learn enables rapid learning with phase-change memory-based in-memory computing
by: Ortner, Thomas, et al.
Published: (2024)
by: Ortner, Thomas, et al.
Published: (2024)
Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation
by: Yu, Chengting, et al.
Published: (2024)
by: Yu, Chengting, et al.
Published: (2024)
Nature-Inspired Local Propagation
by: Betti, Alessandro, et al.
Published: (2024)
by: Betti, Alessandro, et al.
Published: (2024)
Unsupervised Sparse Coding-based Spiking Neural Network for Real-time Spike Sorting
by: Melot, Alexis, et al.
Published: (2025)
by: Melot, Alexis, et al.
Published: (2025)
Similar Items
-
A Consolidated Volatility Prediction with Back Propagation Neural Network and Genetic Algorithm
by: Ke, Zong, et al.
Published: (2024) -
Affinity Is Not Enough: Recovering the Free Energy Principle in Mixture-of-Experts
by: Wong, Man Yung
Published: (2026) -
Equilibrium Propagation Without Limits
by: Litman, Elon
Published: (2025) -
INCRT: An Incremental Transformer That Determines Its Own Architecture
by: Cirrincione, Giansalvo
Published: (2026) -
Scaling Equilibrium Propagation to Deeper Neural Network Architectures
by: Elayedam, Sankar Vinayak, et al.
Published: (2025)