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Optimality of Robust Online Learning
The dataset used in this paper is a sequence of random samples independently distributed from a probability distribution ρ. -
Efficient Algorithms for Online Decision Problems
An efficient algorithm for online decision problems. -
Minimax Regret for Online Learning with Feedback Graphs
The dataset used in the paper is a sequence of strongly observable undirected feedback graphs, where each graph has independence number α for some common value α. -
Online Nonlinear Estimation via Iterative L2-Space Projections
The proposed online learning paradigm is a significant extension of the conventional kernel adaptive filtering framework from RKHS to the space L2(RL, dµ) which has no... -
Adaptive Online Learning with Regularized Kernel for One-class Classification
This paper presents adaptive online learning with regularized kernel for one-class classification. -
Assist2012
The dataset used in the Quiz-based Knowledge Tracing (QKT) model, which is a novel approach to knowledge tracing in online learning systems.