• Title/Summary/Keyword: Group Selection

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A One-Size-Fits-All Indexing Method Does Not Exist: Automatic Selection Based on Meta-Learning

  • Jimeno-Yepes, Antonio;Mork, James G.;Demner-Fushman, Dina;Aronson, Alan R.
    • Journal of Computing Science and Engineering
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    • v.6 no.2
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    • pp.151-160
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    • 2012
  • We present a methodology that automatically selects indexing algorithms for each heading in Medical Subject Headings (MeSH), National Library of Medicine's vocabulary for indexing MEDLINE. While manually comparing indexing methods is manageable with a limited number of MeSH headings, a large number of them make automation of this selection desirable. Results show that this process can be automated, based on previously indexed MEDLINE citations. We find that AdaBoostM1 is better suited to index a group of MeSH hedings named Check Tags, and helps improve the micro F-measure from 0.5385 to 0.7157, and the macro F-measure from 0.4123 to 0.5387 (both p < 0.01).

Tree-structured Clustering for Mixed Data (혼합형 데이터에 대한 나무형 군집화)

  • Yang Kyung-Sook;Huh Myung-Hoe
    • The Korean Journal of Applied Statistics
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    • v.19 no.2
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    • pp.271-282
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    • 2006
  • The aim of this study is to propose a tree-structured clustering for mixed data. We suggest a scaling method to reduce the variable selection bias among categorical variables. In numerical examples such as credit data, German credit data, we note several differences between tree-structured clustering and K-means clustering.

Program for the Selection of Brassieres Depending on Breast Types (유방 유형에 따른 브래지어 선정 프로그램)

  • Lee, Hyun-Young;Jeong, Su-Kyung;Hong, Kyung-Hi
    • Korean Journal of Human Ecology
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    • v.14 no.3
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    • pp.467-473
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    • 2005
  • The integrative Internet program was developed for the selection of optimal brassiere components according to the breast types of middle-aged women. In this program, a customer is classified into a certain group through three steps of a discriminant analysis. Three variables used in the analysis include breast volume, radii of curvature of under-breast curve, and a distance between inner breast points. Using individual data of three variables, the optimal brassiere components, i.e. brassiere cup size, curvature of front panel and wire, distance between cups, are suggested for each customer. Discrimination of breast types using only 2D measurements is also included for those who do not have easy access to a 3D measurement device.

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Machining Route Selection with Subcontracting Using Genetic Algorithm (와주를 고려한 가공경로 선정에서의 유전알고르즘 접근)

  • 이규용;문치웅;김재균
    • Korean Management Science Review
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    • v.17 no.2
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    • pp.55-65
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    • 2000
  • This paper addresses a problem of machining route selection in multi-stage process with machine group. This problem is considered the subcontracting and the production in-house such as regular and overtime work. the proposed model is formulated as a 0-1 integer programming constraining the avaliable time of each machine for planning period and total overtimes. The objective of the model is to minimize the sum of processing cost, overtime cost, and subcontracting cost. To solve this model, a genetic algorithm(GA) approach is developed. The effectiveness of the proposed GA approach is evaluated through comparisons with the optimal solution obtained from the branch and bound. In results, the same optimal solution is obtained from two methods at small size problem, and the consistent solution is provided by the GA approach at large size problem. The advantage of the GA approach is the flexibility into decision-making process because of providing multiple machining routes.

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A Study of Clothing Purchase Behaviors According to Subjective Age (주관적 연령에 따른 의복구매행동에 관한 연구)

  • 이은아;김미숙
    • Journal of the Korean Society of Clothing and Textiles
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    • v.24 no.8
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    • pp.1254-1265
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    • 2000
  • The purpose of this study was to examine the differences in clothing purchase behaviors among groups determined by subjective and chronological ages. The subjects of this study were teens and adults of up to 59 years of age residing in Seoul and the Metropolitan areas. Out of 700, 578 were used for final data analysis, Chi-square analysis, ANOVA, Duncans multiple range test and descriptive statistics were used for statistics analysis. The following results were found: the subjects were divided into 3 groups based on the subjective age. All age groups tended to perceive subjective age similar to chronological one. Regarding evaluative criteria for selecting clothes and stores, significant differences were found among all chronological and subjective age groups. By chronological age levels, significant differences were found among subjective age groups except the teens in the evaluative criteria used for purchasing clothing. Significant differences were found among subjective age group in all chronological age brackets in store selection criteria.

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DIVERGENT SELECTION FOR POSTWEANING FEED CONVERSION IN ANGUS BEEF CATTLE VI. REALIZED HERITABILITY ESTIMATES

  • Park, N.H.;Bishop, M.D.;Davis, M.E.
    • Asian-Australasian Journal of Animal Sciences
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    • v.7 no.4
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    • pp.475-479
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    • 1994
  • Postweaning performance data were obtained on 401 group fed purebred Angus calves from 24 selected sires (12 high and 12 low feed conversion sires) from 1983 through 1986 at the Northwestern Branch of the Ohio Agricultural Research and Development Center. A single generation divergent selection experiment was replicated four times (1983, 1984, 1985 and 1986) to obtain an realized heritability estimate for postweaning feed conversion. The 140-d postweaning period was divided into five 28-d periods. Realized heritability estimates for feed conversion by 28-d periods fluctuated greatly and demonstrated no particular pattern. Heritability was highest for the fourth period (between d 85 and 112 of postweaning period, 0.61). Thus, beef producers could successfully select for feed conversion.

The Effect of Rebirthing Technique on GA-based Size Optimization

  • LEE, Sang-Jin;LEE, Hyeon-Jin
    • Architectural research
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    • v.11 no.2
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    • pp.19-26
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    • 2009
  • The effect of rebirthing technique on the genetic algorithm (GA)-based size optimization is investigated. The GA mimics the principles of nature and it can gradually improve structural design through biological operations such as fitness, selection, crossover and mutation. However, premature optimum has been often detected in the generic GA with continuous design variable. Since then, the so-called rebirthing technique has been proposed to avoid this problem. However, the performance of the rebirthing technique has not been reported. Therefore, the size optimizations of spatial structures are tackled to investigate the performance of the rebirthing technique on the generic GA. From numerical results, it is well proved that the rebirthing technique is very effective to produce the optimum values regardless of the values of parameters used in the GA operations.

A Construction of the Multiplier and Inverse Element Generator over $GF(3^m)$ ($GF(3^m)$ 상의 승산기 및 역원생성기 구성)

  • 박춘명;김태한;김흥수
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.5
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    • pp.747-755
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    • 1990
  • In this paper, we presented a method of constructing a multiplier and an inverse element generator over finite field GF(3**m). We proposed the multiplication method using a descending order arithmetics of mod F(X) to perform the multiplication and mod F(X) arithmetics at the same time. The proposed multiplier is composed of following parts. 1) multiplication part, 2) data assortment generation part and 5) multiplication processing part. Also the inverse element generator is constructed with following parts. 1) multiplier, 2) group of output registers Rs, 3) multiplication and cube selection gate Gl, 4) Ri term sequential selection part. 5) cube processing part and 6) descending order mod F(X) generation part. Especially, the proposed multiplier and inverse element generator give regularity, expansibility and modularity of circuit design.

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Design of an ATM Switch Controller Using Neural Networks (신경회로망을 이용한 ATM 교환기의 제어부 설계)

  • 김영우;임인칠
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.5
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    • pp.123-133
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    • 1994
  • This paper presents an output arbitrator for input buffering ATM (Asynchronous Transfer Mode) switches using neural networks. To avoid blocking in ATM switches with blocking characteristics, it is required to buffer ATM cells in input buffer and to schedule them. The N$\times$N request matrix is divided into N/16 submatrices in order to get rid of internal blocking systematically in scheduling phase. The submatrices are grouped into N/4 groups, and the cells in each group are switched alternatively. As the window size of input buffer is increases, the number of input cells switched in a time slot approaches to N. The selection of nonblocking cells to be switched is done by neural network modules. N/4 neural network modules are operated simultaneously. Fast selection can be achieved by massive parallelism of neural networks. The neural networks have 4N neurons and 14N connection. The proposed method is implemented in C language, and the simulation result confirms the feasibility of this method.

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Mode Selection of Leaky Lamb Waves in Steel Plate

  • Lee, Ju-Won;Kim, Jeong-Tae;Cho, Hyun-Man;Na, Won-Bae
    • Journal of Ocean Engineering and Technology
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    • v.22 no.1
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    • pp.6-12
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    • 2008
  • The dispersion and attenuation of Lamb and Leaky Lamb waves propagating in a 1 mm-thick steel plate were investigated. For acquiring a long(or large) range inspection capability, the fundamental symmetric and anti-symmetric wave modes(S0 and A0) over law frequencies were studied. Based on the dispersion curves, as well as pitch-catch and multi-mode simulations, it was shown that the S0 mode over law frequencies is the proper mode to minimize the dispersion and attenuation. In addition, it was shown that the S0 mode couldbe easily distinguished under multi-mode simulation since it has a larger group velocity than the A0 mode.