Evolving Systems Volume 3 Issue 3

1. A dynamic split-and-merge approach for evolving cluster models
Edwin Lughofer
http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1jfPPN.C3agc4..H.WsNM.3vVy.bW89MQ%5f%5fDGVOFSD0

2. Online variational learning of finite Dirichlet mixture models
Wentao Fan and Nizar Bouguila
http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1jfPPN.C3agc4..H.WsNS.3vVy.bW89MQ%5f%5fDHJKFSJ0

3. Adaptive complex event processing for harmful situation detection
Jean-René Coffi, Christophe Marsala and Nicolas Museux
http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1jfPPN.C3agc4..H.WsNY.3vVy.bW89MQ%5f%5fDHdGFSP0

4. Sliding mode incremental learning algorithm for interval type-2 Takagi–Sugeno–Kang fuzzy neural networks
Sevil Ahmed, Nikola Shakev, Andon Topalov, Kostadin Shiev and Okyay Kaynak
http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1jfPPN.C3agc4..H.WsNe.3vVy.bW89MQ%5f%5fDJEeFSb0

5. Negotiating in dynamic environments: time-efficient automated negotiations by means of combinatorial auctions
Fabian Lang and Andreas Fink
http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1jfPPN.C3agc4..H.WsNk.3vVy.bW89MQ%5f%5fDJYaFTB0