Classification of texts potentially containing a complex and specific terminology requires the use of learning methods that do not rely on extensive feature engineering. In this w...
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
In this paper we present the internal architecture and bidding mechanisms designed for Mertacor, a successful trading agent, which ended up first in the Classic Trading Agent Comp...
Panos Toulis, Dionisis Kehagias, Pericles A. Mitka...
Distributed real-time and embedded (DRE) systems often require support for multiple simultaneous quality of service (QoS) properties, such as real-timeliness and fault tolerance, t...
Jaiganesh Balasubramanian, Aniruddha S. Gokhale, D...
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...