Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collecti...
Albert Bifet, Geoff Holmes, Richard Kirkby, Bernha...
In this paper we present a new multiple classifier system (MCS) for recognizing notes written on a whiteboard. This MCS combines one off-line and two on-line handwriting recognit...
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
We present "advaRSS" crawling mechanism which is created in order to support peRSSonal, a mechanism used to create personalized RSS feeds. In contrast to the common crawl...
George Adam, Christos Bouras, Vassilis Poulopoulos
In this paper we present a new method of baseline detection of online or offline short handwriting. This work is part of a large project for the edification of a dual online / off...