Cs-Lg
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
Ensemble Risk Modeling Method for Robust Learning on Scarce Data
Trace Lasso: a trace norm regularization for correlated designs
Robust estimation of latent tree graphical models: Inferring hidden states with inexact parameters
A new embedding quality assessment method for manifold learning
Datum-Wise Classification: A Sequential Approach to Sparsity
A survey on independence-based Markov networks learning
Activized Learning: Transforming Passive to Active with Improved Label Complexity
A Machine Learning Perspective on Predictive Coding with PAQ
Towards automated symptoms assessment in mental health
Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis
No Internal Regret via Neighborhood Watch
Optimization with Sparsity-Inducing Penalties
Premise Selection for Mathematics by Corpus Analysis and Kernel Methods
Learning Neural Activations
Analysis of the Synergy between Modularity and Autonomy in an Artificial Intelligence Based Fleet Competition
Spatiotemporal Emotion Recognition using Deep CNN Based on EEG during Music Listening
Style transfer-based image synthesis as an efficient regularization technique in deep learning
Machine Learning for high speed channel optimization
AI in the media and creative industries
A Cost Effective Solution for Road Crack Inspection using Cameras and Deep Neural Networks
Reducing Commitment to Tasks with Off-Policy Hierarchical Reinforcement Learning
