Sentence examples for a process of stochastic from inspiring English sources

Also, during the learning of Transfer-NDF, a process of stochastic pruning is applied which adapts representative neurons for better generalization from the learned source domain to that of the target.

Our conclusion that BSCs maintain the airways by a process of stochastic homeostasis is in principle similar to the model defined for the BC population in the mouse inter-follicular epidermis (Clayton et al., 2007).

Such an experimental model would be particularly relevant to the study of cancer, which is a process in which single cells grow out to become malignant tumors through a process of stochastic mutations followed by selection for increased growth within an organism that is itself not genetically compromised or challenged.

These studies sustain a model of homeostatic turnover in which equally potent stem cells undergo a continuous process of stochastic loss and replacement so that their overall population is maintained.

Neither could these geometries easily be arrived at via a process of parameter-based stochastic optimisation.

The concept of an evolution of tumor cells to a diverse population of more and more competitive cancer cells through a process of rare consecutive stochastic genetic or epigenetic events suggests several therapeutic considerations.

Thus, we demonstrate that proliferation is the key driver of somatic stem cell behavior and provide a model for how oncogenic mutations can spread throughout a stem cell pool by exploiting a fundamental homeostatic process of stochastic stem cell replacement.

Transcription in a wide range of organisms, including mammals, has been shown to be a pulsatile process, consisting of stochastic bursts of production followed by periods of promoter quiescence.

This expectation, differing from statistical mean of a random process, is temporal average of a sample of stochastic process.

The assumption of ergodicity makes sure that the temporal average of a sample of stochastic process equals to the statistical mean of stochastic process, which enable one to obtain the statistical characteristics of a stochastic process by measuring only a few samples.

The Markov chain is a kind of stochastic process with characteristics of discrete properties in mathematics.