Cs-Lg
On the Number of Samples Needed to Learn the Correct Structure of a Bayesian Network
On the Performance of Maximum Likelihood Inverse Reinforcement Learning
Outlier Detection using Improved Genetic K-means
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations
Pedestrian Detection with Unsupervised Multi-Stage Feature Learning
Physics Informed Viscous Value Representations
Policy Invariance under Reward Transformations for General-Sum Stochastic Games
Practical Selection of SVM Supervised Parameters with Different Feature Representations for Vowel Recognition
Pseudo-likelihood methods for community detection in large sparse networks
Reservoir Characterization: A Machine Learning Approach
Robustness and Generalization for Metric Learning
Shattering-Extremal Systems
Sparse Support Vector Infinite Push
Strategic Teaching and Learning in Games
Structured Pruning of Deep Convolutional Neural Networks
The OS* Algorithm: a Joint Approach to Exact Optimization and Sampling
Touchalytics: On the Applicability of Touchscreen Input as a Behavioral Biometric for Continuous Authentication
Toward Practical N2 Monte Carlo: the Marginal Particle Filter
Towards Dropout Training for Convolutional Neural Networks
Tracking Tetrahymena Pyriformis Cells using Decision Trees
Trees Assembling Mann Whitney Approach for Detecting Genome-wide Joint Association among Low Marginal Effect loci
Understanding the Interaction between Interests, Conversations and Friendships in Facebook
