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IJON
2006
161views more  IJON 2006»
15 years 4 months ago
Evolving hybrid ensembles of learning machines for better generalisation
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...
Arjun Chandra, Xin Yao
ARTMED
1999
92views more  ARTMED 1999»
15 years 4 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
IJKESDP
2010
117views more  IJKESDP 2010»
15 years 3 months ago
Constitution of Ms.PacMan player with critical-situation learning mechanism
Abstract— We previously proposed evolutionary fuzzy systems of playing Ms.PacMan for the competitions. As a consequence of the evolution, reflective action rules such that PacMa...
Hisashi Handa
COMPUTING
2011
14 years 11 months ago
Private cloud for collaboration and e-Learning services: from IaaS to SaaS
Abstract The idea behind Cloud Computing is to deliver Infrastructure-, Platformand Software-as-a-Service (IaaS, PaaS and SaaS) over the Internet on an easy payper-use business mod...
Frank Dölitzscher, Anthony Sulistio, Christop...
AAAI
2011
14 years 4 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird