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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 8 months ago
Multi-label learning by exploiting label dependency
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Min-Ling Zhang, Kun Zhang
C5
2004
IEEE
15 years 7 months ago
Enabling Social Dimensions of Learning through a Persistent, Unified, Massively Multi-User, and Self-Organizing Virtual Environm
Existing online learning experiences lack the social dimension that characterizes learning in the real world. This social dimension extends beyond the traditional classroom into t...
Julian Lombardi, Mark P. McCahill
ATAL
2006
Springer
15 years 7 months ago
Learning the required number of agents for complex tasks
Coordinating agents in a complex environment is a hard problem, but it can become even harder when certain characteristics of the tasks, like the required number of agents, are un...
Sébastien Paquet, Brahim Chaib-draa
ATAL
2006
Springer
15 years 7 months ago
Learning to identify winning coalitions in the PAC model
We consider PAC learning of simple cooperative games, in which the coalitions are partitioned into "winning" and "losing" coalitions. We analyze the complexity...
Ariel D. Procaccia, Jeffrey S. Rosenschein
ICALT
2009
IEEE
15 years 7 months ago
Using Students' Devices and a No-to-Low Cost Online Tool to Support Interactive Experiential mLearning
The rapid evolution and ubiquitous use of mobile devices is an historical opportunity to improve experiential interactivity in education practices to support “deep” learning. ...
Andrew Litchfield, Ryszard Raban, Laurel Evelyn Dy...