This paper presents the result for Simultaneous Perturbation Stochastic Approximation (SPSA) on the BBOB 2010 noisy testbed. SPSA is a stochastic gradient approximation strategy w...
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Kennaway proved the remarkable result that every (almost) orthogonal term rewriting system admits a computable sequential normalizing reduction strategy. In this paper we present ...
Computational Grids are becoming an increasingly important and powerful platform for the execution of largescale, resource-intensive applications. However, it remains a challenge ...
We discuss two approaches for choosing a strategy in a two-player game. We suppose that the game is played a large number of rounds, which allows the players to use observations o...
In this work, a novel search strategy for autonomous search and rescue robots, that is highly suitable for the environments when the aid of human rescuers or search dogs is complet...
In this paper, we introduce an effective strategy for subgoal division and ordering based upon recursive subgoals and combine this strategy with a genetic-based planning approach....
Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay ...
The Sequential Assessment Game model of animal contests predicts an evolutionarily stable strategy (ESS) that is a sequence of thresholds for giving up. Simulated evolution experim...
This paper describes a choice strategy to ease user’s burdens for an interactive object recognition system when the system obtains multiple object candidates as a recognition re...
Yasushi Makihara, Jun Miura, Yoshiaki Shirai, Nobu...
— In this paper a Particle Swarm Optimization (PSO)-based training strategy is introduced for fuzzy ARTMAP that minimizes generalization error while optimizing parameter values. ...
Eric Granger, Philippe Henniges, Luiz S. Oliveira,...