Cs-Lg
A Machine Learning Approach to Recovery of Scene Geometry from Images
Designing neural networks that process mean values of random variables
An optimized recursive learning algorithm for three-layer feedforward neural networks for mimo nonlinear system identifications
Large Margin Multiclass Gaussian Classification with Differential Privacy
Detecting Blackholes and Volcanoes in Directed Networks
Learning Glioblastoma Tumor Heterogeneity Using Brain Inspired Topological Neural Networks
Predictive State Temporal Difference Learning
How Much Data Is Enough? Uniform Convergence Bounds for Generative & Vision-Language Models under Low-Dimensional Structure
Optimizing Predictive Maintenance in Intelligent Manufacturing: An Integrated FNO-DAE-GNN-PPO MDP Framework
Explainable AI For Early Detection Of Sepsis
Polynomial Learning of Distribution Families
Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress
Empirical learning aided by weak domain knowledge in the form of feature importance
Structural Learning of Attack Vectors for Generating Mutated XSS Attacks
A Fast Audio Clustering Using Vector Quantization and Second Order Statistics
The many faces of optimism - Extended version
Bayesian History Reconstruction of Complex Human Gene Clusters on a Phylogeny
Combining haplotypers
Evolutionary Inference for Function-valued Traits: Gaussian Process Regression on Phylogenies
Comparison of Binary Classification Based on Signed Distance Functions with Support Vector Machines
Enhanced Seismic Imaging with Predictive Neural Networks for Geophysics
Multi-Objective Genetic Programming Projection Pursuit for Exploratory Data Modeling
