Cs-Lg
Quantum Predictive Learning and Communication Complexity with Single Input
SVM-based Multiview Face Recognition by Generalization of Discriminant Analysis
Mixed Cumulative Distribution Networks
Fully-automated sleep staging: multicenter validation of a generalizable deep neural network for Parkinson's disease and isolated REM sleep behavior disorder
Nested Learning: The Illusion of Deep Learning Architectures
Performance Comparisons of PSO based Clustering
Learning to be Reproducible: Custom Loss Design for Robust Neural Networks
IMP: A Message-Passing Algorithmfor Matrix Completion
Near-Optimal Bayesian Active Learning with Noisy Observations
Online Learning in Case of Unbounded Losses Using the Follow Perturbed Leader Algorithm
Building Rules on Top of Ontologies for the Semantic Web with Inductive Logic Programming
Statistical Mechanics of Nonlinear On-line Learning for Ensemble Teachers
Mutual information for the selection of relevant variables in spectrometric nonlinear modelling
A Probabilistic Approach for Learning Folksonomies from Structured Data
Fast Selection of Spectral Variables with B-Spline Compression
A Bayesian Model for Plan Recognition in RTS Games applied to StarCraft
From Sparse Signals to Sparse Residuals for Robust Sensing
Bayesian two-sample tests
Inferring Dynamic Bayesian Networks using Frequent Episode Mining
Improving the accuracy and generalizability of molecular property regression models with a substructure-substitution-rule-informed framework
A Short Introduction to Model Selection, Kolmogorov Complexity and Minimum Description Length (MDL)
Regularized Deep Networks in Intelligent Transportation Systems: A Taxonomy and a Case Study