:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Peng, Dehua, Gui, Zhipeng, Gui, Jie, Wu, Huayi
Format:	Preprint
Published:	2023
Subjects:	Machine Learning I.5.2
Online Access:	https://arxiv.org/abs/2312.04065
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sampling-enabled scalable manifold learning unveils the discriminative cluster structure of high-dimensional data
by: Peng, Dehua, et al.
Published: (2024)

A Boundary-Aware Non-parametric Granular-Ball Classifier Based on Minimum Description Length
by: Xian, Zeqiang, et al.
Published: (2026)

Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
by: Wang, Xudong, et al.
Published: (2025)

Ternary Decision Trees with Locally-Adaptive Uncertainty Zones
by: Smits, William
Published: (2026)

Measuring Robustness of Speech Recognition from MEG Signals Under Distribution Shift
by: Chien, Sheng-You, et al.
Published: (2026)

Convexity-Driven Projection for Point Cloud Dimensionality Reduction
by: Sanyal, Suman
Published: (2025)

RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning
by: Barnard, Amanda S
Published: (2026)

Adaptive Riemannian Graph Neural Networks
by: Wang, Xudong, et al.
Published: (2025)

ScaleMAP: Preserving Local Density and Neighborhood Structure in Low-Dimensional Embeddings
by: Poorna, Rajas, et al.
Published: (2026)

Exploring Hierarchical Classification Performance for Time Series Data: Dissimilarity Measures and Classifier Comparisons
by: Alagoz, Celal
Published: (2024)

FUSE: Fast Semi-Supervised Node Embedding Learning via Structural and Label-Aware Optimization
by: Chakraborty, Sujan, et al.
Published: (2025)

From Linear to Spline-Based Classification:Developing and Enhancing SMPA for Noisy Non-Linear Datasets
by: Srivastava, Vatsal
Published: (2025)

Masked Contrastive Pre-Training Improves Music Audio Key Detection
by: Yonay, Ori, et al.
Published: (2026)

CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
by: Nishiyama, Daiki, et al.
Published: (2022)

Sit-to-Stand Transitions Detection and Duration Measurement Using Smart Lacelock Sensor
by: Islam, Md Rafi, et al.
Published: (2026)

Improving Omics-Based Classification: The Role of Feature Selection and Synthetic Data Generation
by: Perazzolo, Diego, et al.
Published: (2025)

Structured Analytic Coherent Point Drift for Non-Rigid Point Set Registration
by: Feng, Wei, et al.
Published: (2026)

Adaptive Cascading Network for Continual Test-Time Adaptation
by: Nguyen, Kien X., et al.
Published: (2024)

Plug In and Learn: Federated Intelligence over a Smart Grid of Models
by: Abdurakhmanova, S., et al.
Published: (2023)

Gaussian RBF Centered Kernel Alignment (CKA) in the Large Bandwidth Limit
by: Alvarez, Sergio A.
Published: (2021)

Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification
by: Abdelhamid, Mohamed, et al.
Published: (2024)

First-Mover Bias in Gradient Boosting Explanations: Mechanism, Detection, and Resolution
by: Caraker, Drake, et al.
Published: (2026)

Regularisation in neural networks: a survey and empirical analysis of approaches
by: Opperman, Christiaan P., et al.
Published: (2026)

On the Development of Binary Classification Algorithm Based on Principles of Geometry and Statistical Inference
by: Srivastava, Vatsal
Published: (2025)

Discriminative Subspace Emersion from learning feature relevances across different populations
by: Canducci, Marco, et al.
Published: (2025)

Sparse Projection Oblique Randomer Forests
by: Tomita, Tyler M., et al.
Published: (2015)

Uncovering Population PK Covariates from VAE-Generated Latent Spaces
by: Perazzolo, Diego, et al.
Published: (2025)

ViBED-Net: Video Based Engagement Detection Network Using Face-Aware and Scene-Aware Spatiotemporal Cues
by: Gothwal, Prateek, et al.
Published: (2025)

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection
by: Rasmussen, Nicholas R., et al.
Published: (2026)

NeuroViz: Real-time Interactive Visualization of Forward and Backward Passes in Neural Network Training
by: Sharma, Tanvi, et al.
Published: (2026)

A Multi-Encoder Frozen-Decoder Approach for Fine-Tuning Large Language Models
by: Dhole, Kaustubh D.
Published: (2025)

IMUVIE: Pickup Timeline Action Localization via Motion Movies
by: Clapham, John, et al.
Published: (2024)

ClustML: A Measure of Cluster Pattern Complexity in Scatterplots Learnt from Human-labeled Groupings
by: Abbas, Mostafa M., et al.
Published: (2021)

The Manifold Density Function: An Intrinsic Method for the Validation of Manifold Learning
by: Holmgren, Benjamin, et al.
Published: (2024)

Prior-Aligned Data Cleaning for Tabular Foundation Models
by: Berti-Equille, Laure
Published: (2026)

A Low-complexity Structured Neural Network Approach to Intelligently Realize Wideband Multi-beam Beamformers
by: Aluvihare, Hansaka, et al.
Published: (2025)

Interactive Diabetes Risk Prediction Using Explainable Machine Learning: A Dash-Based Approach with SHAP, LIME, and Comorbidity Insights
by: Allani, Udaya
Published: (2025)

Identifying bias in cluster quality metrics
by: Renedo-Mirambell, Martí, et al.
Published: (2021)

When Labels Have Structure: Improving Image Classification with Hierarchy-Aware Cross-Entropy
by: Chan, April, et al.
Published: (2026)

GEESE: Genotype-aware End-to-End Spatio-temporal Embedding for Behavioral Phenotyping
by: Ding, Yiran, et al.
Published: (2026)