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COGSCI
2010
99views more  COGSCI 2010»
15 years 4 months ago
Learning to Learn Causal Models
Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical B...
Charles Kemp, Noah D. Goodman, Joshua B. Tenenbaum
COLT
2007
Springer
15 years 10 months ago
Minimax Bounds for Active Learning
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
Rui Castro, Robert D. Nowak
WMTE
2008
IEEE
15 years 10 months ago
PALLAS: Personalised Language Learning on Mobile Devices
Mobile and ubiquitous learning facilitates language learners to continue their learning process outside the formal classroom, when and where they desire. While more and more learn...
Sobah Abbas Petersen, Jan-Kristian Markiewicz
ICALT
2005
IEEE
15 years 10 months 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
ECTEL
2009
Springer
15 years 7 months ago
ReMashed - Recommendations for Mash-Up Personal Learning Environments
Abstract. The following article presents a Mash-Up Personal Learning Environment called ReMashed that recommends learning resources from emerging information of a Learning Network....
Hendrik Drachsler, Dries Pecceu, Tanja Arts, Edwin...