Sentence examples for given a hypothesis from inspiring English sources

In particular, we show that in a binary classification problem over a horizon of n rounds, given a hypothesis space H with finite VC-dimension, it is possible to design an algorithm that incrementally builds a suitable finite set of hypotheses from H used as input for an exponentially weighted forecaster and achieves a cumulative regret of order O(√nVC(H logn) with overwhelming probability.

Deduction uses the complementary equation P(Evidence|Hypothesis) to compute the likelihood of evidence given a hypothesis.

The similarity index between two structures s1 and s2 given a hypothesis h is noted: Similarity ( h, s 1, s 2 ).

To recapitulate, the likelihood of an item of evidence, E (in our previous example, the likelihood of a blood type match) given a hypothesis H (that the accused is in fact guilty) is compared with the likelihood of E given the negation of H (that the accused is in fact innocent).

The distinction between ML and Bayesian inference is that Bayesian provides probabilities for hypotheses, not probabilities of data given a hypothesis [ 85, 87, 88].

This framework allows us to investigate the most parsimonious implementation of C2 and C4 cycles, given a hypothesis about which metabolites are suitable for plasmodesmatal transport.

This prediction generated by the simulation model gave a hypothesis which should be revised by additional field observations.

Finally, we give a hypothesis of active document composition: it consists of four elements, namely, explicit architecture, invasiveness, transconsistency, and staging.

Considering the role of CCS52A2 in the root, we give a hypothesis is that the duplicated OCs may somehow result from the failure to maintain low mitotic levels in certain SAM cells, with more cells available to fulfill certain roles.

Given a working hypothesis, researchers are able to easily search whole genome genotyping data for SNPs that link genetic locations to phenotypes.

Second, the approach extends classical inference, based on the likelihood of the data given a null hypothesis about the parameters, to more plausible inferences about the parameters of the model given the data.