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107
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ATAL
2010
Springer
15 years 3 months ago
Evolving policy geometry for scalable multiagent learning
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
TSMC
2010
14 years 8 months ago
Second-Order Consensus for Multiagent Systems With Directed Topologies and Nonlinear Dynamics
Abstract--This paper considers a second-order consensus problem for multiagent systems with nonlinear dynamics and directed topologies where each agent is governed by both position...
Wenwu Yu, Guanrong Chen, Ming Cao, Jürgen Kur...
109
Voted
EVOW
2009
Springer
15 years 8 months ago
Binary Exponential Back Off for Tabu Tenure in Hyperheuristics
In this paper we propose a new tabu search hyperheuristic which makes individual low level heuristics tabu dynamically using an analogy with the Binary Exponential Back Off (BEBO) ...
Stephen Remde, Keshav P. Dahal, Peter I. Cowling, ...
142
Voted
BMCBI
2007
136views more  BMCBI 2007»
15 years 1 months ago
Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees
Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...
Xiaoyu Chen, Mathieu Blanchette
122
Voted
KES
2007
Springer
15 years 1 months ago
An Application of Machine Learning Methods to PM10 Level Medium-Term Prediction
The study described in this paper, analyzed the urban and suburban air pollution principal causes and identified the best subset of features (meteorological data and air pollutants...
Giovanni Raimondo, Alfonso Montuori, Walter Moniac...