Sentence examples for do inference from inspiring English sources
The phrase "do inference" is grammatically correct and can be used in written English
It is usually used when drawing a conclusion from evidence. For example, "The researcher was tasked to do inference on the results of the study to determine the efficacy of the drug."
The new model of semantic networks using the adaptive associative memories can do inference extremely fast — in time that does not increase with the size of knowledge base.
However, in causal induction we would like to discover the causal structure itself, that is we would like to do inference over a multitude of graphs representing different causal structures (Heckerman et al. [1999]).
Our inference algorithm uses Gibbs sampling to do inference in the RVD2 hierarchical empirical Bayes model.
So do inferences palpably incorrect, as when a sentence of a certain William Bell is adduced as evidence of his Romanism, when it contains the pure Anglican proposition that the English church was founded by Joseph of Arimathea (and was therefore older as well as truer than the Roman).
Our histological and textural examinations showing that immature bone is still prevalent in the largest specimens strongly supports this (Figure 3), as do inferences from the growth curve that none are asymptotic individuals (Figure 9).
GMs are useful because they model the process that generate the observed data, providing the machinery to do inferences and simulations of yet unobserved situations or to help understanding the underlying generative process.
"But one thing that gets lost is that doing inference doesn't necessarily need such heavy compute".
The second approach avoids the computational overhead of solving for the optimal policy in each time step by directly doing inference on the Q-tables.
Therefore, we constructed a hierarchical Bayesian model that not only does inference over different hypotheses, but also maintains a probability distribution over different structures.
For doing inference with the model, the current implementation uses MCMC sampling, the computation time of which is approximately half an hour per gene on a 2.3 GHz processor.
Recently, this has improved for animal models as there are now packages available for doing inference for these models with MCMC in R (MCMCglmm; Hadfield 2010) and in BUGS (Lunn et al. 2000).
