This paper presents an ‘elitist approach’ for extracting automatically well-realized speech sounds with high confidence. The elitist approach uses a speech recognition system based on Hidden Markov Models (HMM). The HMM are trained on speech sounds which are systematically well-detected in an iterative procedure. The results show that, by using the HMM models defined in the training phase, the ...

We show that the ASPIC elitist set comparison relation, as defined in [3], is not reasonable inducing and hence cannot guarantee normative rationality for structured argumentation. Rather, one should revert to Prakken’s original strict elitist set comparison, as defined in [4], in order to guarantee that instantiations of Dung’s framework satisfy rationality postulates. We also show that by rev...

A novel framework for automatic articulatory-acoustic feature extraction has been developed for enhancing the accuracy of placeand manner-of-articulation classi cation in spoken language. The ‘‘elitist’’ approach provides a principled means of selecting frames for which multi-layer perceptron, neural-network classi ers are highly con dent. Using this method it is possible to achieve a frame-lev...

Marco Dorigo et al. used Ant System (AS) to explore the Symmetric Traveling Salesman Problem and found that the use of a small number of elitist ants can improve algorithm performance. The elitist ants take advantage of global knowledge of the best tour found to date and reinforce this tour with pheromone in order to focus future searches more effectively. This paper discusses an alternative ap...

this paper presents pluralism as a historical process. the term pluralism frequently appears not only in the field of political philosophy but also in social sciences. in one sense, the growing literature is stimulating and enriching, nevertheless the abundance of material attempting to explain the various interpretations of pluralist theory can be convoluted and overwhelming. despite the const...

The fitness-level technique is a simple and old way to derive upper bounds for the expected runtime of simple elitist evolutionary algorithms (EAs). Recently, the technique has been adapted to deduce the runtime of algorithms with non-elitist populations and unary variation operators [2,8]. In this paper, we show that the restriction to unary variation operators can be removed. This gives rise ...

Although usage of genetic algorithms (GAs) has become widespread, the theoretical work from the genetic and evolutionary computation (GEC) field has been largely ignored by practitioners in realworld applications. This paper provides an overview of a three-step method for utilizing GEC theory to ensure robust search and avoid the common pitfalls in GA applications. Additionally, this study pres...

The covariance matrix adaptation evolution strategy (CMA-ES) is one of the most powerful evolutionary algorithms for real-valued single-objective optimization. Here a variant of the CMA-ES for multi-objective optimization (MOO) is developed. First a single-objective, elitist CMA-ES using plus-selection and step size control based on a success rule is introduced. This algorithm is compared to th...

In this paper, damping power system oscillations is presented using the Elitist differential search algorithm (Elitist-DSA) in a multi-machine system. The tuning of power system stabilizers (PSSs) are presumed as the complex optimization problem for the security of power system. The linearized model of power system is transformed into a multimodal objective function and proposed algorithm is ap...