نتایج جستجو برای: especially where they complete each other yet
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We approach the problem of adaptively combining the predictions of an ensemble of seasonal climate models as a Multi-task Learning (MTL) problem. Unlike the traditional MTL setting, we only have a single functional task (combining the predictions ensemble members), where we consider multiple forecast periods from the same suite of models as our multiple learning tasks. Even though the same mode...
It is has been well known since Fiengo and Lasnik (1973) and Langendoen (1978) that each other presents a high degree of contextual variability. In a tradition that goes back to Langendoen (1978) and later to Dalrymple et al. (1998), theoreticians have tried to list different truth conditions and to establish a criterion for determining which one holds in which particular context. Along the lin...
the significance of the study of deixis was then mentioned. the purpose of the present study from the outset was to provide a comprehensive overview of all kinds of deixis in persian, describing and defining each in true while considering them structurally and semantically. chapter two consisted of two main parts. a review of the english studies in this respect, besides presenting persian liter...
Unicolonial ant populations are the most extensive cooperative units known in nature, forming networks of interconnected nests extending sometimes hundreds of kilometers. Within such a supercolony, worker altruistic behavior might be maladaptive, because it seems to aid random members of the population instead of relatives. However, recent genetic and behavioral data show that, viewed on a suff...
Recent studies have revealed a distinct class of bacterial effectors defined by the presence of EPIYA or EPIYA-related motif. These bacterial EPIYA effectors are delivered into host cells via type III or IV secretion, where they undergo tyrosine phosphorylation at the EPIYA motif and thereby manipulate host signalling by promiscuously interacting with multiple SH2 domain-containing proteins. Up...
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