Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
Yoav Freund, Robert E. Schapire, Yoram Singer, Man...
In this paper, we study a sequential decision making problem. The objective is to maximize the average reward accumulated over time subject to temporal cost constraints. The novel...
We are creating an interactive tool to help non-professional web site builders create high quality designs. We have previously reported that quantitative measures of web page stru...
In this paper, we examine on-line learning problems in which the target concept is allowed to change over time. In each trial a master algorithm receives predictions from a large ...
This paper presents a multi-expert system for dynamic signature verification. The system uses a stroke-oriented description of signatures well-suited for multi-expert approach. Ea...
L. Bovino, Sebastiano Impedovo, Giuseppe Pirlo, L....