Cs-Lg
A Quantized VAE-MLP Botnet Detection Model: A Systematic Evaluation of Quantization-Aware Training and Post-Training Quantization Strategies
Data Complexity-aware Deep Model Performance Forecasting
A Novel Rough Set Reduct Algorithm for Medical Domain Based on Bee Colony Optimization
Online Learning via Sequential Complexities
GraphLab: A New Framework for Parallel Machine Learning
Generative and Latent Mean Map Kernels
Smoothing proximal gradient method for general structured sparse regression
Generation and Interpretation of Temporal Decision Rules
Fast Weak Learner Based on Genetic Algorithm
On the Relationship between the Posterior and Optimal Similarity
Ranked bandits in metric spaces: learning optimally diverse rankings over large document collections
Ontology-supported processing of clinical text using medical knowledge integration for multi-label classification of diagnosis coding
Freezing and Sleeping: Tracking Experts that Learn by Evolving Past Posteriors
Adaptive Semi-Supervised Training of P300 ERP-BCI Speller System with Minimum Calibration Effort
Splitwise: Collaborative Edge-Cloud Inference for LLMs via Lyapunov-Assisted DRL
An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones
How does the Performance of the Data-driven Traffic Flow Forecasting Models deteriorate with Increasing Forecasting Horizon? An Extensive Approach Considering Statistical, Machine Learning and Deep Learning Models
Derivations of Normalized Mutual Information in Binary Classifications
Sampling High Throughput Data for Anomaly Detection of Data-Base Activity
Tight Sample Complexity of Large-Margin Learning
Classifying Clustering Schemes
Online Importance Weight Aware Updates
