DT Tutor uses a decision-theoretic approach to select tutorial actions for coached problem solving that are optimal given the tutor's beliefs and objectives. It employs a mode...
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Information extraction (IE) holds the promise of generating a large-scale knowledge base from the Web’s natural language text. Knowledge-based weak supervision, using structured...
Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke S....
Abstract. During the last years, a number of formal specification languages for knowledge-based systems have been developed. Characteristic for knowledge-based systems are a comple...
Pascal van Eck, Joeri Engelfriet, Dieter Fensel, F...
We present an application prototype of dynamic knowledge representation programmed in LUPS (a language for updating logic programs). This is a case study to model intelligent agen...
Juan Carlos Acosta Guadarrama, Mauricio Javier Oso...