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» Evolutionary learning of small networks
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GECCO
2008
Springer
178views Optimization» more  GECCO 2008»
15 years 8 months ago
Agent Smith: a real-time game-playing agent for interactive dynamic games
The goal of this project is to develop an agent capable of learning and behaving autonomously and making decisions quickly in a dynamic environment. The agent’s environment is a...
Ryan K. Small
204
Voted
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
16 years 1 months ago
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...
228
Voted
SIGOPS
2011
210views Hardware» more  SIGOPS 2011»
15 years 2 months ago
Small trusted primitives for dependable systems
Secure, fault-tolerant distributed systems are difficult to build, to validate, and to operate. Conservative design for such systems dictates that their security and fault toleran...
Petros Maniatis, Byung-Gon Chun
206
Voted
GECCO
2005
Springer
220views Optimization» more  GECCO 2005»
16 years 29 days ago
Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...
Mark Fleischer
179
Voted
CEC
2003
IEEE
16 years 22 days ago
Learning DFA: evolution versus evidence driven state merging
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
Simon M. Lucas, T. Jeff Reynolds