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ECAL
2001
Springer
15 years 6 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
INFORMATICALT
2007
92views more  INFORMATICALT 2007»
15 years 1 months ago
A Matrix-Based Model for Web Page Community Construction and More
The rapid development of network technologies has made the web a huge information source with its own characteristics. In most cases, traditional database-based technologies are no...
Jingyu Hou
IRREGULAR
1997
Springer
15 years 5 months ago
Parallel Shared-Memory State-Space Exploration in Stochastic Modeling
Stochastic modeling forms the basis for analysis in many areas, including biological and economic systems, as well as the performance and reliability modeling of computers and comm...
Susann C. Allmaier, Graham Horton
WSC
1998
15 years 2 months ago
Informational Macrodynamics: System Modelling and Simulation Methodologies
Informational Macrodynamics (IMD) presents a unified informational systemic approach with common information language for modeling, analysis and optimization of a variety of inter...
Vladimir S. Lerner
BMCBI
2006
216views more  BMCBI 2006»
15 years 1 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...