Sentence examples for rules with maximum from inspiring English sources
Based on this lattice, a proposed suitable equivalence relation partitions the set of association rules with maximum single constraints into disjoint equivalence classes.
The efficiency of (MAR_MaxSC) compared with post-processing methods for mining association rules with maximum single constraints is then verified on several characteristic databases.
Based on it, the (MAR_MaxSC) algorithm is proposed (see Fig. 5) to efficiently mine the set of all association rules with maximum single constraints ({mathcal A}{mathcal R}{mathcal S}_{subseteq L_{1},~subseteq R_{1} } (s_0,s_{1},c_0,c_{1} )) from lattice ({mathcal L}{mathcal C}{mathcal G}).
Two serious problems encountered during the mining of association rules with maximum single constraints are that (1) their cardinality grows exponentially, and the known algorithms for mining them typically generate numerous redundancies and duplicates and (2) their constraints are frequently modified.
A set of rules with maximum probability are used iteratively to generate a potential pre-miRNA sequence.
The proposed schemes include 1) simplified EXP rule (sEXP Rule), 2) modified EXP rule (mEXP Rule), 3) EXP rule with maximum throughput (MT) (EXP_MT Rule), and 4) enhanced EXP rule with MT (E2M).
People use different methods such as majority voting, weighted voting, sum rule, mean rule, product rule, maximum rule, minimum rule, correlation and mutual information to build the combiner.
For the moment, the rules go with maximum allowed height.
Using an equivalence relation based on the closure of the two rule sides, the association rule set with maximum single constraints is partitioned into disjoint equivalence classes.
Veto threats The costs of non-Europe La France profonde Fools and bad roads Existential dreaming Reprints Related items Russia's bloody wars: Small state seeks new historyMar 22nd 2007Part of the Soviet Union's human legacy is low regard for any rules not enforced with maximum prejudice and a cadre of officials happy not to enforce them, for the right price.
The average number of MODLEM decision rules in the five rule sets generated by cross validation is 773 rules, with mean and maximum length of 3.65 and 8 descriptors, respectively.
