On the Performance of Maximum Likelihood Inverse Reinforcement Learning
On the Possibility of Learning in Reactive Environments with Arbitrary Dependence
On the Properties of B and A Type Supergiants
On the Relationship between the Posterior and Optimal Similarity
On the Sample Complexity of Predictive Sparse Coding
On the Stability of Empirical Risk Minimization in the Presence of Multiple Risk Minimizers
On the Universality of Online Mirror Descent
On the Use of a Student Response System and Peer Tutors in Team Learning at the University of Kansas
On Theorem 2.3 in "Prediction, Learning, and Games" by Cesa-Bianchi and Lugosi
On Tsallis Entropy Bias and Generalized Maximum Entropy Models
On-Board Cryosphere Change Detection With The Autonomous Sciencecraft Experiment
On-line Machine Learning and Event Detection in Petascale Data Streams
On-line regression competitive with reproducing kernel Hilbert spaces
Once Upon a Time in the Electron Radiation Belts
Online and Batch Learning Algorithms for Data with Missing Features
Online convex optimization in the bandit setting: gradient descent without a gradient
Online Distributed Sensor Selection
Online Importance Weight Aware Updates
Online Learning Algorithms for Stochastic Water-Filling
Online Learning for Classification of Low-rank Representation Features and Its Applications in Audio Segment Classification