In this paper we propose an Rprop modification that builds on a mathematical framework for the convergence analysis to equip Rprop with a learning rates adaptation strategy that en...
Aristoklis D. Anastasiadis, George D. Magoulas, Mi...
The use of modified Real Adaboost ensembles by applying weighted emphasis on erroneous and critical (near the classification boundary) has been shown to lead to improved designs, ...
We will discuss , the depth first implementation of APRIORI as devised in 1999 (see [8]). Given a database, this algorithm builds a trie in memory that contains all frequent item...
Large-scale systems for information extraction include many different classifiers and extractors. Experience in building such systems shows that finding an appropriate architect...
In [7], we reported on our experience in building Collaborative Mobile Virtual Communities (CMVC) on the Web. In [8], we proposed a finite state machine model and a new approach t...