Showing 1–20 of 30 results
/ Date/ Name
Dec 24, 2017Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network ClassificationDec 25, 2017Kernel Regression with Sparse Metric LearningJul 26, 2013Multi-view Laplacian Support Vector MachinesJun 9, 2019A Variant of Gaussian Process Dynamical SystemsNov 25, 2019Adversarial Attack with Pattern ReplacementJun 17, 2019A Survey of Optimization Methods from a Machine Learning PerspectiveMay 14, 2019Online Anomaly Detection with Sparse Gaussian ProcessesJul 26, 2013Infinite Mixtures of Multivariate Gaussian ProcessesDec 25, 2017Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural NetworksJul 2, 2017Location Dependent Dirichlet ProcessesJun 15, 2025Revealing the Challenges of Sim-to-Real Transfer in Model-Based Reinforcement Learning via Latent Space ModelingApr 25, 2025Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine TranslationJun 19, 2020Adversarial Attacks for Multi-view Deep ModelsJan 17, 2017Multi-view Regularized Gaussian ProcessesDec 24, 2017Neural Network Multitask Learning for Traffic Flow ForecastingSep 25, 2025A Causality-Aware Spatiotemporal Model for Multi-Region and Multi-Pollutant Air Quality ForecastingJun 1, 2019Variational Langevin Hamiltonian Monte Carlo for Distant Multi-modal SamplingDec 24, 2017Traffic Flow Forecasting Using a Spatio-Temporal Bayesian Network PredictorJan 27, 2026LEMON: How Well Do MLLMs Perform Temporal Multimodal Understanding on Instructional Videos?Jun 21, 2014PAC-Bayes Analysis of Multi-view Learning