Stat-Ml
From Sparse Signals to Sparse Residuals for Robust Sensing
Training linear ranking SVMs in linearithmic time using red-black trees
Partition Decoupling for Multi-gene Analysis of Gene Expression Profiling Data
Finding Exogenous Variables in Data with Many More Variables than Observations
Multi-layer Attention Mechanism for Speech Keyword Recognition
Segmentation and Nodal Points in Narrative: Study of Multiple Variations of a Ballad
Clustering processes
An Information Geometric Framework for Dimensionality Reduction
Robust Independent Component Analysis by Iterative Maximization of the Kurtosis Contrast with Algebraic Optimal Step Size
A more robust boosting algorithm
Foundations of a Multi-way Spectral Clustering Framework for Hybrid Linear Modeling
Kernel Partial Least Squares is Universally Consistent
Dimension reduction and variable selection in case control studies via regularized likelihood optimization
Asymptotic risks of Viterbi segmentation
Sparse Conformal Predictors
Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling
Performance Analysis of Spectral Clustering on Compressed, Incomplete and Inaccurate Measurements
Support vector machine for functional data classification
Lanczos Approximations for the Speedup of Kernel Partial Least Squares Regression
Refinements of Universal Approximation Results for Deep Belief Networks and Restricted Boltzmann Machines
Slow Learners are Fast
Dimension reduction in representation of the data
