Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Abstract. We present a Context Ultra-Sensitive Approach based on two-step Recommender systems (CUSA-2step-Rec). Our approach relies on a committee of profile-specific neural networ...
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
This paper reports on work-in-progress to better understand how users visually interact with hierarchically organized semantic information. Experimental reaction time and eye move...
In this paper we present work toward a new method of evaluation for Reality-Based Interaction Styles that we call Cognitive Description and Evaluation of Interaction (CoDeIn). Thi...