Summary of Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System, by M. Sajid et al.
Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference Systemby M. Sajid,…
Summary of Clustering-based Validation Splits For Model Selection Under Domain Shift, by Andrea Napoli et al.
Clustering-Based Validation Splits for Model Selection under Domain Shiftby Andrea Napoli, Paul WhiteFirst submitted to…
Summary of Claq: Pushing the Limits Of Low-bit Post-training Quantization For Llms, by Haoyu Wang et al.
CLAQ: Pushing the Limits of Low-Bit Post-Training Quantization for LLMsby Haoyu Wang, Bei Liu, Hang…
Summary of Canonical Variates in Wasserstein Metric Space, by Jia Li and Lin Lin
Canonical Variates in Wasserstein Metric Spaceby Jia Li, Lin LinFirst submitted to arxiv on: 24…
Summary of U-tell: Unsupervised Task Expert Lifelong Learning, by Indu Solomon et al.
U-TELL: Unsupervised Task Expert Lifelong Learningby Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath…
Summary of Simultaneous Identification Of Sparse Structures and Communities in Heterogeneous Graphical Models, by Dapeng Shi et al.
Simultaneous Identification of Sparse Structures and Communities in Heterogeneous Graphical Modelsby Dapeng Shi, Tiandong Wang,…
Summary of Clustering-based Multitasking Deep Neural Network For Solar Photovoltaics Power Generation Prediction, by Hui Song et al.
Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Predictionby Hui Song, Zheng Miao,…
Summary of Rectified Gaussian Kernel Multi-view K-means Clustering, by Kristina P. Sinaga
Rectified Gaussian kernel multi-view k-means clusteringby Kristina P. SinagaFirst submitted to arxiv on: 9 May…
Summary of Concrete Dense Network For Long-sequence Time Series Clustering, by Redemptor Jr Laceda Taloma et al.
Concrete Dense Network for Long-Sequence Time Series Clusteringby Redemptor Jr Laceda Taloma, Patrizio Pisani, Danilo…
Summary of Unsupervised Machine Learning For Data-driven Rock Mass Classification: Addressing Limitations in Existing Systems Using Drilling Data, by T. F. Hansen et al.
Unsupervised machine learning for data-driven rock mass classification: addressing limitations in existing systems using drilling…