Extreme environmental conditions were estimated by a probabilistic model.
Ortiz-Barahona A, Villar D, Pescador N, Amigo J, del Peso L. Genome-wide identification of hypoxia-inducible factor binding sites and target genes by a probabilistic model integrating transcription-profiling data and in silico binding site prediction.
Ising GA avoids the exhaustive design of suggested FIR filters (solutions) for every string of coefficients in every generation and replace this by a probabilistic model of fitness every gap (period) of iterations.
An analysis methodology is proposed to evaluate the dynamical effects, displacements and stresses, on highway bridge decks, due to vehicles crossing on the rough pavement surfaces defined by a probabilistic model.
In addition to observed locations of organelles and proteins, the system has learned to predict those locations by studying other similar cells, so even in cells that haven't been searched for a given substance, its presence can be inferred by a probabilistic model.
Indeed, such talk is readily accommodated in our present formalism.[12] In the approach we have been pursuing, a physical system is represented by a probabilistic model (A,Δ), and the system's states are identified with the probability weights in Δ. Classically, any subset Γ of the state-space Δ corresponds to a categorical property of the system.
The disruption probabilities of intermodal hubs are estimated by using a probabilistic model which is developed using real world data.
By using a probabilistic model for stock-out, the expected lead time is proposed as the quantitative measure of supply chain responsiveness.
However, by using a probabilistic model, involving the variability in the measuring result and the structural behaviour, the prestress level could be confirmed in a more stringent way.
In the second case, the practical concern of uncertainties involved in RANP is addressed, by developing a probabilistic model and using it in repetitive experiments for detection of barely visible impact damage in carbon fiber laminates.
This translation is done by learning a probabilistic model which uses co-occurrence data as a bridge between the source and target feature spaces.
