Sentence examples for development of inference from inspiring English sources

We present a new framework for cosmological parameter estimation, CosmoSIS, designed to connect together, share, and advance development of inference tools across the community.

The automation of both numerical and non-numerical frameworks surely represents a preliminary step in the development of inference engines of intelligent agents, expert systems, and decision-support tools.

The development of inference methods that deduce from time discretely observed concentrations of metabolites, both the network of the biotransformations and mechanisms of action as well as the kinetic parameters of these interactions is a new challenge of a new paradigm in drug design and discovery: the network pharmacology introduced by A. L. Hopkins [ 15].

Results of microarray experiments on Mycobacterium tuberculosis were used to develop and evaluate the visualization tool and initiate the development of an inference system for gene interactions based on such data.

This course is aimed at the rigorous development of statistical inference.

This article outlines the development of statistical inference within the remote sensing science and application communities.

Stochastic models of sequence evolution are closely related to spin systems that have been extensively studied in statistical physics and that connection has led to important insights on the theoretical properties of phylogenetic reconstruction algorithms as well as the development of new inference methods.

This will require the development of efficient inference methods able to integrate heterogeneous data such as gene expression data, sequence data, and textual information scattered in scientific literature.

Finally, we note that the node ordering is not unique for the DAG considered here, as illustrated by the black squares in Figure 2. The proposed MCMC-Mallows algorithm as well as the two previously presented methods [ 7, 11] were applied to data from the DREAM4 challenge, an international competition held yearly to contribute to the development of powerful inference methods [ 13- 16].

This recent expansion into studies of non-model systems allows further development of evolutionary inferences [ 32], such as the role that selection, mutation, gene flow, and drift play in adaptation [ 33].

Although reports have indicated an increased incidence of lung and skin cancer among workers occupationally exposed to chloroprene, adequately designed studies have not been carried out which would allow the development of valid inferences regarding its carcinogenicity.