For a purpose of program distribution and scheduling a graph based representation of the standard program is used.
Additionally, LEM incorporates a physically based representation of the stochastic variability of turbulent eddy motions, implying an intrinsic representation of scalar dissipation rate fluctuations.
The N samples (particles) are drawn from a proposed distribution p X k i X k i - 1, Y k, i = 1,2,…,N and assigned with weights w X k i. Suppose that at a previous time instance k – 1, we have a particle based representation of the density, that is, we have a collection of N particles and their corresponding weights X k - 1 i, w X k - 1 i i = 1 N.
It maintains a particle based representation of the a posteriori probability p(X k |Y 1 : k ) of the state X k given all the observations Y 1 : k = {Y 1, Y 2, …, Y k } up to and including the current time, k, instance, according to: p X k | Y 1 : k = λ k p Y k | X k ∫ p X k | X k - 1 p X k - 1 | Y 1 : k - 1 d X k - 1 (6).
Such studies serve to also highlight the complexity of base arrangements in a DNA sequence and the difficulties in finding any inherent pattern or signal sequences in such arrangements, especially in a character based representation of the hundreds and thousands of nucleotides comprising the sequences.
While previous methods that use an all-atom based representation of the interface have been successful, CMAPi's use of a contact map representation allows it to be more tolerant to conformational changes and thus to align more of the interaction surface.
The agreement between the simulated and observed tracer plumes was quantified to gauge the effectiveness of geophysically derived and flowmeter based representations of the hydraulic conductivity field.
Earlier approaches to document retrieval based on a query include keyword matching and vector based representations of the word regarding the incidence of words in documents [15], which is also known as information retrieval.
More recently, a 3D high definition CT-scan based representation of dose-distribution superimposed with the posterior fossa structures, and tumour contour was made available.
The graph based representation of workflows is quite general as it allows representing different workflow types, including business workflows and scientific workflows.
While there are other useful aspects of Deep Learning based representations of data, the specific characteristics mentioned above are particularly important for Big Data Analytics.
