Improving K-means Clustering Using Speculation

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Improving K-means Clustering Using Speculation

Chat with Graph Search

Transfer learning-based approach for evaluating residual stiffness in carbon fiber reinforced composites and adhesives

Development of a blind control occupant behaviour model (BC-OBM) based on contextual and time-related factors through supervised machine learning approaches

Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics

Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling

Smart Edge for Hierarchical Vision Systems

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Match Normalization: Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization

Sparse representations, inference and learning

Partial discharge localization in power transformer tanks using machine learning methods

Probabilistic methods for neural combinatorial optimization

Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining

AIFORE: Smart Fuzzing Based on Automatic Input Format Reverse Engineering

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Fairness and Explainability in Clustering Problems

Linearization and Identification of Multiple-Attractor Dynamical Systems through Laplacian Eigenmaps

Efficient Online Clustering with Moving Costs

Memory of Motion for Initializing Optimization in Robotics

Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization