Effective teaching involves treating the presentation of new material and the assessment of students’ mastery of this material as part of a seamless and continuous feedback cycl...
Kimberle Koile, Kevin Chevalier, Michel Rbeiz, Ada...
This paper addresses the task of automatic classification of semantic relations between nouns. We present an improved WordNet-based learning model which relies on the semantic inf...
In many interactive decision making scenarios there is often no solution that satisfies all of the user’s preferences. The decision process can be helped by providing explanati...
Barry O'Sullivan, Alexandre Papadopoulos, Boi Falt...
This paper describes our experience in using modern Web 2.0 architecture, lightweight Python frameworks, and rapid prototyping to create an AI rostering and workforce management s...
: In this paper, we propose an empirical likelihood (EL) based strategy for building confidence intervals for differences between two contrasting groups. The proposed method can de...
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Developing human-centered agent architectures requires the integral consideration of architectural flexibility, teamwork adaptability, and context reasoning capability. With the ...