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BMCBI
2007
173views more  BMCBI 2007»
15 years 4 months ago
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
135
Voted
AIPS
2008
15 years 6 months ago
Fast Dynamic Scheduling of Disjunctive Temporal Constraint Networks through Incremental Compilation
Autonomous systems operating in real-world environments must plan, schedule, and execute missions while robustly adapting to uncertainty and disturbance. One way to mitigate the e...
Julie A. Shah, Brian C. Williams
CIC
2004
15 years 5 months ago
Dynamic Characteristics of k-ary n-cube Networks for Real-time Communication
Overlay topologies are now popular with many emerging peer-to-peer (P2P) systems, to efficiently locate and retrieve information. In contrast, the focus of this work is to use ove...
Gerald Fry, Richard West
139
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GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
15 years 5 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...
193
Voted
AAMAS
2006
Springer
15 years 4 months ago
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...