66 search results - page 1 / 14 » DIVACE: Diverse and Accurate Ensemble Learning Algorithm |
IDEAL
2004
Springer
13 years 10 months ago
2004
Springer
In order for a neural network ensemble to generalise properly, two factors are considered vital. One is the diversity and the other is the accuracy of the networks that comprise th...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
IJON
2006
13 years 5 months ago
2006
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
CEC
2007
IEEE
13 years 11 months ago
2007
IEEE
— This paper proposes to incorporate bootstrap of data, random feature subspace and evolutionary algorithm with negative correlation learning to automatically design accurate and...