This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Abstract. We report research into concepts and technology for enabling endusers to configure Ambient Intelligent environments. In this paper we focus on the feasibility and accepta...
The management of voluminous heterogeneous resources and services in the web environment is a complex task. Semantic knowledge is playing an increasing important role in order to h...
This is foremost a methodological contribution. It focuses on the foundation of anticipation and the pertinent implications that anticipation has on learning (theory and experiment...
Efforts to achieve the long-standing dream of realizing scalable learning algorithms for networks of spiking neurons in silicon have been hampered by (a) the limited scalability of...
Jae-sun Seo, Bernard Brezzo, Yong Liu, Benjamin D....