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EDM
2010
142views Data Mining» more  EDM 2010»
15 years 8 months ago
A Data Model to Ease Analysis and Mining of Educational Data
Learning software is not designed for data analysis and mining. Because usage data is not stored in a systematic way, its thorough analysis requires long and tedious preprocessing....
André Krüger, Agathe Merceron, Benjami...
ICONIP
2008
15 years 8 months ago
On Node-Fault-Injection Training of an RBF Network
Abstract. While injecting fault during training has long been demonstrated as an effective method to improve fault tolerance of a neural network, not much theoretical work has been...
John Sum, Chi-Sing Leung, Kevin Ho
PAKM
2000
15 years 8 months ago
Situated Knowledge Management - KM on the Borderline between Chaos and Rigidity
Acknowledging the "untidiness of knowledge work", we agree that organizational learning calls for flexible and adaptable IT support. However, recurring situations which ...
Marc Diefenbruch, Marcel Hoffmann, Andrea Misch, H...
NIPS
1996
15 years 8 months ago
Continuous Sigmoidal Belief Networks Trained using Slice Sampling
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
Brendan J. Frey
HAIS
2008
Springer
15 years 7 months ago
An Evolutionary Approach for Tuning Artificial Neural Network Parameters
The widespread use of artificial neural networks and the difficult work regarding the correct specification (tuning) of parameters for a given problem are the main aspects that mot...
Leandro M. Almeida, Teresa Bernarda Ludermir