BLDA

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AcronymDefinition
BLDABayesian Linear Discriminant Analysis
BLDABangladesh Land Developers Association
BLDABeit Lahiya Development Association
BLDABell Labs Design Automation
BLDABlack Dahlia
BLDABallroom and Latin Dance Association (University of Chicago)
BLDABelleau Lake Dam Association Inc. (East Wakefield, NH)
BLDABusse Longlife Design Award
BLDABlue Dacnis (Dacnis cayana)
BLDABirmingham Lindy Dancers Association (Birmingham, AL)
BLDABeer, Liquor and Drinks Association (Viet Nam)
BLDABalanan Lake Development Authority
BLDABacklit Display Apparatus
BLDABoosting Linear Discriminant Analysis
BLDABread of Life and Deliverance Association
BLDABusiness and Legal Design Authority (UK)
BLDABukan Lalang Ditiup Angin
BLDABarrie Land Developers Association (Canada)
BLDABarrett Lloyd Davis Associates LLP (UK)
BLDABondo Livestock Development Agents
BLDABoston Latino Deaf Association (Brighton, MA)
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References in periodicals archive ?
Besides this, when the correlation among the sub-dimensions of the EB was investigated, a negative and significant correlation was determined between the sub-dimension entitled "BLDE" and the sub-dimension entitled "BOOT" (r=-.273, p<0.01) whereas a positive and significant relationship was found between the sub-dimension entitled "BLDA" and the sub-dimension entitled "BOOT" (r=.332, p<0.01) (see Table 2).
On the other hand, when the scores obtained from the epistemological beliefs scale are examined, it is seen that firstly, there is a significant difference according to gender among the scores obtained from the sub-dimension of the scale entitled "BLDA" (t=2.400; /K0.05).
As a result of variance analysis, no significant difference was found according to the departments students attended between the scores students got from the EIUSEB scale [F(4,406)=2.395; p=0.05] and the scores they obtained from "BOOT" sub-dimension of the EB scale [F(4,406)=1.536; p>0.05] in terms of the groups, whereas a statistically significant difference was found between the scores they got from the sub-dimension of the EB scale entitled "BLDE" [F(4,406)=3.135; p<0.05] and the scores they obtained from the sub-dimension "BLDA" [F(4,406)=2.973; p<0.05] in terms of the groups.
Tukey test was used to determine what variable the main factor stemmed from in the sub-dimensions of EB scale entitled "BLDE" and "BLDA".
As a result of the variance analysis, no significant differences were found according to academic achievement level between the groups in terms of the scores students received from the EIUSEB scale [F(2,408)=0.564; p>0.05] and "BLDE" sub-dimension of the EB scale [F(2,408)=0.231; p>0.05], whereas in terms of the groups, a significant difference was found between the scores obtained from "BLDA" sub-dimension [F(2,408)=11.575; p<0.001] and the scores obtained from "BOOT" sub-dimension [F(2,408)=4,690; p<0.05] of the EB scale.
Tukey test was implemented in order to determine what variable the fundamental factor came from in "BLDA" and "BOOT" sub-dimensions of the EB scale.
On the other hand, as far as the sub-dimensions of EB were concerned, a negative and significant correlation was found between the sub-dimension of "BLDE" and the sub-dimension of "BOOT" whereas a positive and significant relationship was found between the sub-dimension of "BLDA" and the sub-dimension of "BOOT".
On the other hand, when the students' EB were examined, it was found that there was a significant difference only in the sub-dimension of "BLDA" as far as gender was concerned.
On the other hand, as far as EB were concerned, no significant difference was found in the sub-dimension of "BOOT" in terms of the department students attended whereas a statistically significant difference was found in the sub-dimensions of "BLDE" and "BLDA" in terms of the department students attended.
On the other hand, as far as EB were concerned, a statistically significant difference was found in the sub-dimension of "BLDA" and "BOOT" in terms of the students' academic achievement levels.
Such type of collective approach takes advantage of both Boosting and LDA (BLDA) and outperforms the traditional LDA based schemes in face recognition tasks.