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GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
15 years 11 months ago
Bounding XCS's parameters for unbalanced datasets
This paper analyzes the behavior of the XCS classifier system on imbalanced datasets. We show that XCS with standard parameter settings is quite robust to considerable class imbal...
Albert Orriols-Puig, Ester Bernadó-Mansilla
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 10 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
ATAL
2008
Springer
15 years 9 months ago
Approximate predictive state representations
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
Britton Wolfe, Michael R. James, Satinder P. Singh
CSREAEEE
2008
79views Business» more  CSREAEEE 2008»
15 years 8 months ago
Implementing Standard Reference Models for e-learning Systems
- Active development in the field of e-Learning has led to multiple organizations and specifications that try to provide some interoperability to systems, tools and learning conten...
Juan-Manuel de Blas, Luis de Marcos, Roberto Barch...
JIISIC
2001
15 years 8 months ago
Knowledge Component of a Multiagent Distributed Decision Support System
We have developed a distributed DSS capable to working in a dynamic way. That is, when a domain of an organization needs a new kind of information, the system looks for this infor...
Georgina Stegmayer, María Laura Caliusco, O...