This paper shows how universal learning can be achieved with expert advice. To this aim, we specify an experts algorithm with the following characteristics: (a) it uses only feedba...
We describe and analyze an algorithmic framework for online classification where each online trial consists of multiple prediction tasks that are tied together. We tackle the prob...
Multi-class network is becoming a more attractive solution to provide Quality-of-Service guarantee, as more quality-demanding applications are emerging. This research considers ne...
In this paper we present an online method for managing a goaloriented buffer partitioning in the distributed memory of a network of workstations. Our algorithm implements a feedba...
This paper presents an online support vector machine (SVM) that uses the stochastic meta-descent (SMD) algorithm to adapt its step size automatically. We formulate the online lear...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex ...