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TABLE I REDUCTION OF COMPLEXITY FOR SEVERAL MAPS
Table 1. In the next section experimental results for several mappings of different dimensions are exhibited.
2002
"... In PAGE 4: ... Table1 . Algorithm for determining the stability property of a periodic orbit.... ..."
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Table 5.1: System models and parameters used for computing several information maps.
2006
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Table 2. Element-to-element Mapping table The above table shows the mapping from WML elements to USIXML elements which include one-to-one mapping and one-to-several mapping. For the one-to-several mapping, we use the explicite mapping condition to decide which USIXML element will be mapped from certain WML element.
in PREFACE
Table 1. Mapping accuracy compared for several tests in large facilities.
1998
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Table 1. Mapping accuracy compared for several tests in large facilities.
1998
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Table 1. Number of porcine ESTs produced and mapped by each laboratory. Some ESTs have been mapped by several methods
2002
Table 4 - Comparison of RH maps from several bovine chromosomes, constructed using the RHA panel.
"... In PAGE 6: ...7 Mb. Discussion The average marker retention frequency for BTA5 was much lower than has been observed for most chromo- somes ( Table4 ), except for BTA2, BTA7 and BTA15 (BTAX was lower, but was also present in only one copy, since the library was developed from a male cell line). The average retention for the markers used in the previously published RH maps of BTA5 were similar (Band et al.... ..."
Table 10: Percentage of successful runs for the several methods in the 89-state map problem. Problem Success rate
2005
"... In PAGE 43: ... It should however been remarked that, in the problem 89 State Map an impressive improve- ment in performance has been observed. This can be better observed in Table10 , where a different performance measure is provided (namely, the percentage of runs during which the agent was able to successfully reach the goal before 100 time instants elapsed). This clearly indicates that the learning algorithm had not yet converged after 105 time instants, as indicated by the results of Test 1.... In PAGE 44: ... As such, we ran a 6th test in which the learning agent was allowed to learn during 107 time instants. The obtained results are presented on Table10 in the entry labeled Test 6 . Since a significant improvement can be observed, but the overall performance is still quite inferior to the one observed in Test 5, which may indicate that more time is required for the algorithm to converge.... ..."
TABLE 1. Misclassification rates of the applications of several discrimination methods to both the GENICA and the HapMap data set.
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