Sentence examples for rule threshold from inspiring English sources
By properly designing the fusion rule threshold as well as the number of cooperative sensing users, the energy efficiency of CR networks can be further improved.
where k 2=⌈M/2⌉+1 is the second level majority rule threshold and I g is the global decision about the intruder's presence.
where k 1=⌈|Φ m |/2⌉+1 is the first level majority rule threshold and |Φ m | is the number of SNs in the mth cluster.
In [12], the authors defined the energy efficiency as the ratio of the average throughput of the CRN over the average energy used by the CRN and a problem of jointly designing the fusion rule threshold and detector's threshold that maximizes the energy efficiency of the CRN was studied.
In the case of 3-COG rule mining, the NETCAR algorithm eventually evaluates about 10 10 candidate sets when we set the final rule threshold mutual information (mMIr ) of 0.1% FDR level.
Since our algorithm predicts connections biased by the biology of the system under study (through the use of gene expression data from ApcMin/+ mouse intestinal tissue), a particular protein or edge may not appear in the network if the pathway (i.e. chain of proteins) on which it resides does not meet the gene coexpression and/or GO association rule thresholds.
Unlike previous work that relied on a subjective evaluation of histograms to set rule thresholds (Tuncbag et al., 2009), our exhaustive rule classifier uses information theoretic techniques to automatically identify the optimal classification rules from the training set.
where is the probability of detection, is the probability of false alarm, is the conditional probability under,, is (first sensor censors, second sensor sends), is (first sensor sends, second sensor censors), is (first sensor sends, second sensor sends), and is the fusion center's decision-rule threshold.
(A) Training pool distribution of predictions (blue lines) and errors (red lines) for Model logP3-1a, for which the naïve majority rules threshold of 16.5 was used.
Consensus phylogenies were then constructed using DENDROPY software with a "majority rules" threshold bootstrap support frequency of 0.50 at each bipartition (Sukumaran and Holder 2010).
The decision to terminate a trial before it reaches its preplanned sample size is based upon apriori statistical stopping rules (threshold of a p value is reached).
