… online learning tasks through the same algorithmic prism. We first introduce a simple online
algorithm which we call Passive-Aggressive (… the PA algorithm which improve the algorithm’s …

… online learning algorithm, which has both constant space and update time, is proposed. The
approach is based on the popular online PassiveAggressive (PA) algorithm. … PA algorithm …

… effort during the entire online learning task. … online active learning algorithms called
Passive-Aggressive Active (PAA) learning algorithms by adapting the Passive-Aggressive algorithms …

… algorithmic prism. Specifically, we discuss online classification, online regression, and online
… The goal of the online learning algorithm is to minimize the cumulative loss. The losses we …

… estimation in a batch setting, the model in this paper is much better suited to passive-aggressive
learning in an online setting. We develop these ideas further in the next section. …

… a new family of algorithms for online active learning called Passive-Aggressive Active (PAA) …
present a new scheme for online active learning, ie, the Passive-Aggressive Active (PAA) …

… Stochastic Gradient Descent (SGD) is a popular online algorithm … passiveaggressive (NN-PA),
a family of online algorithms for non-negative matrix factorization (NMF). Our algorithms …

… samples in the online setting. We apply it to online Passive–Aggressive (PA) algorithm in a
direct way… The resulting Fuzzy Passive–Aggressive (FPA) algorithm achieves comparable …

… In order to evaluate the capacity of online adaptation and as a sanity check of our algorithm,
we have generated a two dimensional XOR synthetic problem with 1000 samples using 4 …

… a family of online multilabel classification algorithms, which can update the model instantly
and efficiently, and make a timely online prediction when new data arrive. Our algorithms all …