Stat-Ml
Adapting to Non-stationarity with Growing Expert Ensembles
Heavy-Tailed Processes for Selective Shrinkage
Optimal initialization of K-means using Particle Swarm Optimization
Characterizing Diseases and disorders in Gay Users tweets
The Partial Response Network: a neural network nomogram
Adaptive Parallel Tempering for Stochastic Maximum Likelihood Learning of RBMs
Social Media Analysis For Organizations: Us Northeastern Public And State Libraries Case Study
Variational Autoencoding the Lagrangian Trajectories of Particles in a Combustion System
Brain covariance selection: better individual functional connectivity models using population prior
Manifold Learning of Four-dimensional Scanning Transmission Electron Microscopy
Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms
Machine Learning Suites for Online Toxicity Detection
Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks
Proceedings of the 2011 New York Workshop on Computer, Earth and Space Science
Moving Objects Analytics: Survey on Future Location & Trajectory Prediction Methods
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
Closed-form EM for Sparse Coding and its Application to Source Separation
Improved EEG Event Classification Using Differential Energy
Computing Vertex Centrality Measures in Massive Real Networks with a Neural Learning Model
Comprehensive Analysis of Dynamic Message Sign Impact on Driver Behavior: A Random Forest Approach
Estimating Networks With Jumps
Machine Learning For Distributed Acoustic Sensors, Classic versus Image and Deep Neural Networks Approach
