The takeover time of some selection method is the expected number of iterations of this selection method until the entire population consists of copies of the best individual under the assumption that the initial population consists of a single copy of the best individual. We consider a class of nongenerational selection rules that run the risk of loosing all copies of the best individual with ...

Accurate and timely diagnosis of infection status in infants born to women infected with human immunodeficiency virus (HIV) is of paramount importance. The comparative accuracy of five diagnostic decision rules was evaluated in 208 HIV-exposed infants (32 infected, 176 uninfected) based on laboratory testing during the first 6 months of life. Diagnostic rules A and B, which required single bloo...

The use of renewable energy is an important issue that being promoted internationally. Considering the supply fossil increasingly depleting and requires a very long time to be renewed. One uses biodiesel as substitute for diesel fuel. This utilization carried out by mixing with quantity blended fuel following rules in each country. That why chain must described obtain minimum economic costs env...

In this paper, we study a challenging problem of mining data generating rules and state transforming rules (i.e., semantics) underneath multiple correlated time series streams. A novel Correlation field-based Semantics Learning Framework (CfSLF) is proposed to learn the semantic. In the framework, we use Hidden Markov Random Field (HMRF) method to model relationship between latent states and ob...

Many complex actions such as speaking and playing music consist of sequences of action units strung together according to syntactic rules. How such rules are implemented in the brain is a critical problem for understanding the neural basis of complex behaviors. Songbirds are ideal model systems for tackling this problem. Birdsong consists of sequences of stereotypical syllables. The syntax of t...

We propose a new statistical model for computational linguistics. Rather than trying to estimate directly the probability distribution of a random sentence of the language, we define a Markov chain on finite sets of sentences with many finite recurrent communicating classes and define our language model as the invariant probability measures of the chain on each recurrent communicating class. Th...

Auction mechanisms have attracted a great deal of interest and have been used in diverse emarketplaces. In particular, combinatorial auctions have the potential to play an important role in electronic transactions. Therefore, diverse combinatorial auction market types have been proposed to satisfy market needs. These combinatorial auction types have diverse market characteristics, which require...