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ICEB
2004
234views Business» more  ICEB 2004»
13 years 8 months ago
A Component-based Framework for Distributed Business Simulations in E-Business Environments
Simulations preserve the knowledge of complex dynamic systems and consequently transfer the knowledge of the cohesions of its elements to a specified target group. As the progress...
Alexander Hampel, Edward Bernroider
ICANNGA
2009
Springer
212views Algorithms» more  ICANNGA 2009»
14 years 2 months ago
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric L...
DAC
2004
ACM
14 years 8 months ago
A frequency relaxation approach for analog/RF system-level simulation
The increasing complexity of today's mixed-signal integrated circuits necessitates both top-down and bottom-up system-level verification. Time-domain state-space modeling and...
Xin Li, Yang Xu, Peng Li, Padmini Gopalakrishnan, ...
IJHCI
2010
117views more  IJHCI 2010»
13 years 5 months ago
Avoiding Latent Design Conditions Using UI Discovery Tools
Motivation – Designers make decisions that later influence how users work with the systems that they have designed. When errors occur in use, it is tempting to focus on the acti...
Harold W. Thimbleby
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu