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SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
15 years 5 months ago
Large-Scale Many-Class Learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Michael Connor
ECAI
2010
Springer
15 years 5 months ago
Event Model Learning from Complex Videos using ILP
Abstract. Learning event models from videos has applications ranging from abnormal event detection to content based video retrieval. Relational learning techniques such as Inductiv...
Krishna S. R. Dubba, Anthony G. Cohn, David C. Hog...
ASC
2006
15 years 4 months ago
Speeding up the learning of equivalence classes of bayesian network structures
For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...
Rónán Daly, Qiang Shen, J. Stuart Ai...
NPL
2006
85views more  NPL 2006»
15 years 4 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling
ECTEL
2009
Springer
15 years 2 months ago
Using Third Party Services to Adapt Learning Material: A Case Study with Google Forms
Abstract. Current Learning Management Systems were typically conceived to offer a self-contained "one size fits all" learning environment. Adaptive educational systems ha...
Luis de la Fuente Valentín, Abelardo Pardo,...