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» On Some Optimization Heuristics for Lesk-Like WSD Algorithms
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GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 1 months ago
A novel ab-initio genetic-based approach for protein folding prediction
In this paper, a model based on genetic algorithms for protein folding prediction is proposed. The most important features of the proposed approach are: i) Heuristic secondary str...
Sergio Raul Duarte Torres, David Camilo Becerra Ro...
RTCSA
2000
IEEE
13 years 12 months ago
Scheduling optional computations in fault-tolerant real-time systems
This paper introduces an exact schedulability analysis for the optional computation model urider a specified failure hypothesis. From this analysis, we propose a solutionfor deter...
Pedro Mejía-Alvarez, Hakan Aydin, Daniel Mo...
ICML
1995
IEEE
14 years 8 months ago
Ant-Q: A Reinforcement Learning Approach to the Traveling Salesman Problem
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...
Luca Maria Gambardella, Marco Dorigo
GECCO
2007
Springer
189views Optimization» more  GECCO 2007»
14 years 1 months ago
A more bio-plausible approach to the evolutionary inference of finite state machines
With resemblance of finite-state machines to some biological mechanisms in cells and numerous applications of finite automata in different fields, this paper uses analogies an...
Hooman Shayani, Peter J. Bentley
CG
2005
Springer
13 years 7 months ago
Adaptive density estimation using an orthogonal series for global illumination
In Monte-Carlo photon-tracing methods energy-carrying particles are traced in an environment to generate hit points on object surfaces for simulating global illumination. The surf...
Kam Wah Wong, Wenping Wang