Example sentences of "[art] [noun sg] be " in BNC.
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1 | ’ I just hate categories and sometimes new age can connotate airy-fairy , ridiculous things , whereas the synchro-energiser is based on scientific research . ’ |
2 | The algorithm is modified , since only some set of the higher probability letters are selected as candidates to be chosen between , instead of choosing between all possible candidates . |
3 | The algorithm is used both for originally arranging the array , and to check whether a particular value is present . |
4 | The algorithm is supplied with a heuristic function , called f , and it chooses nodes from OPEN in order of their f values . |
5 | The heuristic component of the algorithm is given by some estimate h(N) which is a guess at the cost of a cheapest path from N to a goal . |
6 | The algorithm is : |
7 | Each component of the partition is a cluster , and the algorithm is intended to find clusters which are as far apart as possible . |
8 | If the algorithm is to do all we want , contexts should be allowed to include some variables too . |
9 | Garg and Gotlieb have developed a method that is related to interpolation searching , and in which the algorithm is based on an analysis of the key sequence , rather than on a presupposition such as the effectiveness of any particular procedure — say mid-square or division . |
10 | The algorithm is described by Walker . |
11 | For the UB-level the algorithm is more sophisticated and two subsidiary procedures coefficients and optimum are called . |
12 | The algorithm is very simple . |
13 | The algorithm is : — |
14 | In outline the algorithm is as follows : — |
15 | Otherwise , the algorithm is impractical ( e.g. if run-time is > Cn ) . |
16 | If the algorithm is not admissible then the decision to end the search is fairly arbitrary . |
17 | In Fig. 8.1. the algorithm is misled into taking the leftmost path because its actual cost , 3 , is less than the estimate , 4 , ( though not the actual cost , 2 ) of the correct , rightmost path . |
18 | and the algorithm is guided just by the cost so far , g(n) . |
19 | However , if certain conditions hold , it can be shown that the algorithm is near admissible . |
20 | If the estimates are used to prune paths , the algorithm is no longer guaranteed to find the optimal path , though it may be possible to prove that the probability of doing so approaches 1 . |
21 | As the estimate is simply the maximum that any hypothesis can achieve for the remainder of the utterance , the estimate is always optimistic and the algorithm is admissible . |
22 | Later information could score better than the path so far , the estimated score ( extrapolated from the current score ) therefore no longer functions as a reliable upper bound , and so the algorithm is no longer admissible . |
23 | Thus the cost of a path can not increase , it can only stay at the same level or decrease , and the algorithm is admissible . |
24 | The algorithm is not continuously diverted from depth-first into breadth-first search simply by virtue of picking up additional cost , as is the shortfall method . |
25 | The algorithm is breadth-first ; each state at time t is advanced before updating states at t+1 . |
26 | The algorithm is fast , taking under a second to order 1150 clones and 180 probes from the S.pombe YAC library and under 3 seconds to order 667 probes and 2837 clones from the S.pombe cosmid library on SUN SPARCStation II . |
27 | The algorithm is implemented in the program yacorder and is used for positioning contigs which do not contain any mapped probes and so can not be positioned directly . |
28 | As this encoded beam passes through a second optoelectronic array , the various stages of the algorithm are executed . |
29 | As this encoded beam passes through a second optoelectronic array , the various stages of the algorithm are executed . |
30 | To address this difficulty the algorithm was changed to a depth-first one . |