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COLT
1993
Springer
15 years 10 months ago
Learning from a Population of Hypotheses
We introduce a new formal model in which a learning algorithm must combine a collection of potentially poor but statistically independent hypothesis functions in order to approxima...
Michael J. Kearns, H. Sebastian Seung
ECTEL
2006
Springer
15 years 10 months ago
Ontological Support for a Theory-Eclectic Approach to Instructional and Learning Design
Enhancement of learning with technology has been accelerating thanks to the advancement of information technology (IT) and the development of IT standards for learning. The purpose...
Yusuke Hayashi, Jacqueline Bourdeau, Riichiro Mizo...
ICML
1996
IEEE
16 years 7 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
ICALT
2005
IEEE
16 years 8 days ago
MALESAbrain for Problem-Based Learning in IT Education
This paper reports MALESAbrain an intelligent online tool for problem-based learning (PBL) in IT education. The learning model of MALESAbrain is built on the notions of threshold ...
Akcell Chiang, Mohd Sapiyan Baba
ICALT
2005
IEEE
16 years 8 days ago
English Class on the Air: Mobile Language Learning with Cell Phones
Busy, active adults often do not have the time or ability to study in traditional, face-to-face classroom settings. In addition, adult learners may need access to content or exper...
Timothy G. Collins