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CEC
2007
IEEE
15 years 10 months ago
Evolutionary random neural ensembles based on negative correlation learning
— This paper proposes to incorporate bootstrap of data, random feature subspace and evolutionary algorithm with negative correlation learning to automatically design accurate and...
Huanhuan Chen, Xin Yao
CSFW
2004
IEEE
15 years 7 months ago
Using Active Learning in Intrusion Detection
Intrusion Detection Systems (IDSs) have become an important part of operational computer security. They are the last line of defense against malicious hackers and help detect ongo...
Magnus Almgren, Erland Jonsson
AROBOTS
2000
108views more  AROBOTS 2000»
15 years 3 months ago
Robot Awareness in Cooperative Mobile Robot Learning
Most of the straight-forward learning approaches in cooperative robotics imply for each learning robot a state space growth exponential in the number of team members. To remedy the...
Claude F. Touzet
EUSFLAT
2009
162views Fuzzy Logic» more  EUSFLAT 2009»
15 years 1 months ago
Early Start Can Inhibit Learning: Towards A New Explanation
The age at which we teach different topics change. If it turns out that students do not learn, say, reading by the time they should, a natural idea is to start teaching them earlie...
Olga Kosheleva
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
16 years 4 months ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...