• 한국언어정보학회지:언어와정보
• /
• 제7권1호
• /
• pp.87-99
• /
• 2003

This paper investigates the role of input frequency in the acquisition of verb argument structures based on distributional information of a corpus of utterances derived from the English CHILDES database (MacWhinney 1993). It has been widely accepted that children successfully learn verb argument structures by innate language mechanisms, such as linking rules which connect verb meanings and its syntactic structures. In contrast, an approach to language acquisition called “statistical language learning” has currently claimed that children could succeed in acquiring syntactic structures in the absence of innate language mechanisms, making use of distributional properties of the input. In this paper, I evaluate the feasibility of the statistical learning in acquiring verb argument structures, based on distributional information about locative verbs in parental input. The naturalistic data allow us to investigate to what extent the statistical learning approach can and cannot help children succeed in learning the syntax of locative verbs. Based on the results of English database analysis, I show that there is rich statistical information for learning the syntactic possibilities of locative verbs in parental input, despite some limitations in the statistical learning approach.

• Journal of Information Processing Systems
• /
• 제2권1호
• /
• pp.23-27
• /
• 2006

This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many features and a target value. We classified them into positive and negative data based on the target value. We then divided the range of the feature values into 10 intervals and calculated the distribution of the intervals in each positive and negative data. Then, we selected the features and the intervals of the features for which the distributional differences are over a certain threshold. Using the selected intervals and features, we could obtain the reduced training data. In the experiments, we will show that the reduced training data can reduce the training time of the neural network by about 40%, and we can obtain more profit on simulated stock trading using the trained functions as well.

• The Korean Journal of Ecology
• /
• 제21권1호
• /
• pp.7-13
• /
• 1998

The distributional characteristics about 8 syntaxa of mantle communitly (Mantelgesellschaften) in South Korea was studied. This study was carried out by geographic and bioclimatic analysis on 326 phytosociological releves on the basis of syntaxonomy and hierarchical system of mantle community already obtained from Zurich-Montpellier School's method, which involves direct analysis on the latitude, altitude, annual mean temperature and the lowest temperature of each site. The distributional characteristics of mantle communities in South Korea appeared from South to North in the order of Mallotetum japonicae, Clerodendretum trichotomae, Akebietum quinatae, Lonicero-Puerarietum lobatae, Spiraetum salicifoliae. Dioscoreo-Actinidietum argutae, Sorbarietum stellipilae and Tripterygietum regelii. It is suggested that the information (syntaxonomical, floral, geographic and bioclimatic data) of Japan, North Korea and China is essential to determine the distributional characteristics of mantle community in Korean Peninsula.

• 정보관리학회지
• /
• 제24권4호
• /
• pp.267-283
• /
• 2007

이 연구에서는 분포 유사도를 문헌 클러스터링에 적용하여 전통적인 코사인 유사도 공식을 대체할 수 있는 가능성을 모색해보았다. 대표적인 분포 유사도인 KL 다이버전스 공식을 변형한 Jansen-Shannon 다이버전스, 대칭적 스큐 다이버전스, 최소스큐 다이버전스의 세 가지 공식을 문헌 벡터에 적용하는 방안을 고안하였다. 분포 유사도를 적용한 문헌 클러스터링 성능을 검증하기 위해서 세 실험 집단을 대상으로 두 가지 실험을 준비하여 실행하였다. 첫 번째 문헌클러스터링실험에서는 최소스큐다이버전스가 코사인 유사도 뿐만 아니라 다른 다이버전스공식의 성능도 확연히 앞서는 뛰어난 성능을 보였다. 두번째 실험에서는 피어슨 상관계수를 이용하여1차 유사도 행렬로부터2차 분포 유사도를 산출하여 문헌 클러스터링을 수행하였다. 실험결과는 2차 분포 유사도가 전반적으로더 좋은 문헌 클러스터링성능을 보이는 것으로 나타났다. 문헌클러스터링에서 처리 시간과 분류 성능을 함께 고려한다면 이 연구에서 제안한 최소 스큐 다이버전스 공식을 사용하고, 분류 성능만 고려할 경우에는 2차 분포 유사도 방식을 사용하는 것이 바람직하다고 판단된다.

• 한국경영과학회:학술대회논문집
• /
• 대한산업공학회/한국경영과학회 1990년도 춘계공동학술대회논문집; 한국과학기술원; 28 Apr. 1990
• /
• pp.272-288
• /
• 1990

The uncertainty quantification process in probabilistic Risk Assessment usually involves a specification of the uncertainty in the input data and the propagation of this uncertainty to the final risk results. The distributional sensitivity analysis is to study the impact of the various assumptions made during the quantification of input parameter uncertainties on the final output uncertainty. The uncertainty importance of input parameters, in this case, should reflect the degree of changes in the whole output distribution and not just in a point estimate value. A measure of the uncertainty importance is proposed in the present paper. The measure is called the distributional sensitivity measure(DSM) and explicitly derived from the definition of the Kullback's discrimination information. The DSM is applied to three typical discrimination information. The DSM is applied to three typical cases of input distributional changes: 1) Uncertainty is completely eliminated, 2) Uncertainty range is increased by a factor of 10, and 3) Type of distribution is changed. For all three cases of application, the DSM-based importance ranking agrees very well with the observed changes of output distribution while other statistical parameters are shown to be insensitive.

• 대한안전경영과학회지
• /
• 제6권1호
• /
• pp.125-133
• /
• 2004

Greeting the globalization and information period of 21C, the improvement of the distributional system structure and modernization of publishing distribution are the seriously required periodic assignments for the publishing industry that is a national knowledge and culture industry to be equipped with the core competitiveness. First, it is to found a large distributional organization that is able to provide total logistics services in time that is essential to the publishing company and bookstore. Second, it is to have a logistics service to act up to the variable requirements of customers such as publishing companies and bookstores under the rapidly changing distribution environment. Third, it is to provide the standardized information of publishing distribution. It is needed to establish a total distributional center in collaboration to satisfy the requirements of publishing industry as above. By doing this work, structure of the publishing distribution system can be improved and its constitution can be strengthen, and it is possible not only to construct a stable supply system but also to realize an information-based system in the publishing industry with the construction of information system and its utilization. Furthermore, the application of RFID in the publishing distribution is essentially required to provide the symbolic model and logistics infrastructure into the 'Paju publishing culture information industrial complex'. It could be possible by growing the international recognition regarding distribution environment and strengthening the international competitiveness in the period of the ""Open door".

• 한국언어정보학회:학술대회논문집
• /
• 한국언어정보학회 1986년도 Seoul Papers in Formal Garmmar Theory II = Proceedings of the Fifth Korean-Japanese Joint Workshop
• /
• pp.137-151
• /
• 1986

• 사상체질의학회지
• /
• 제23권3호
• /
• pp.361-373
• /
• 2011

1. Objectives: The purpose of this study was done to learn the Sasang constitutional distribution and to find out if there are differences in the type of diseases and symptoms according to the Sasang constitution in Japan. 2. Methods: We collected data from 366 patients who visited the Department of Oriental Medicine, Keio University and recruited 132 healthy persons in Tokyo, Japan. For sasang constitution diagnosis, they all have done SSCQ-P(Sasang Constitution Questionaire for Patients) questionnaire. and a sasang constitution specialist diagnosed the sasang constitution of them. And We classify the diseases and symptoms of 313 patients according to KCD(Korean Standard Classification of Diseases) and learn the prevalences of diseases and symptoms according to Sasang Constitution. 3. Results: 1) Among the total 498 subjects, distributional rate of Taeyangin, Soyangin, Taeeumin, and Soeumin were 2.0%, 26.3%, 29.9%, and 41.8%. Among the 366 patients, distributional rate of Taeyangin, Soyangin, Taeumin, and Soeumin were 0.8%, 27.3%, 28.7%, and 43.2%. Among the 132 healthy group, distributional rate of Taeyangin, Soyangin, Taeeumin, and Soeumin were 5.3%, 23.5%, 33.3%, and 37.9%. 2) The prevalences of 'V.Mental and behavioural disorders', 'XI.Diseases of the digestive system', 'XV.Pregnancy, childbirth and the puerperium' and 'feeling of coldness(X VIII.Symptoms, signs and abnormal clinical and laboratory findings, NEC)' of Soeumin were significantly higher than those of the other constitutions.(p-value<0.05) 4. Conclusions: The distributional rate of Sasangin of Japanese was different from that of Korean and especially the distributional rate of Soeumin of Japanese was significantly higher than that of Korean. There were significant differences on the prevalences of some diseases and symtoms according to KCD in Soeumin.

• 디지털융복합연구
• /
• 제16권4호
• /
• pp.55-67
• /
• 2018

본 연구는 분할기업에서 구성원이 인지하는 조직정치지각과 조직공정성에 대한 인식이 변화저항에 어떠한 영향을 미치는지 살펴보고 이에 대한 방법을 모색하는데 있다. 분석결과, 상사 정치와 동료 정치에 따른 조직정치 지각은 분배공정성, 절차공정성에 의해 최소화되며 조직정치지각은 변화저항을 강화하는 것으로 나타났다. 또한 공정성의 간접 매개효과를 분석하였다. 그 결과 상사의 조직정치지각, 동료의 조직정치지각은 분배 공정성을 매개로 한 변화 저항에 영향을 가진다고 나타났다. 하지만 절차 공정성은 조직정치지각과 변화 저항 간에 매개 효과가 없다고 나타났다. 이에 따라 분할 기업에서 조직구성원들의 변화 저항을 최소화할 수 있도록 분배적 공정성에 많은 관심을 가질 필요가 있다. 조직구성원들이 분배 공정성이 확보되지 못할 경우 조직정치 행동이 유발될 가능성이 높다고 할 수 있다.

• 한국언어정보학회지:언어와정보
• /
• 제14권2호
• /
• pp.131-157
• /
• 2010

This article reports an attempt to perform a similarity analysis on a collection of 25 culinary manuscripts in Chosun periods using a set of quantitative text analysis methods. Historical culinary texts are valuable resources for linguistic, historic, and cultural studies. We consider the similarity of two texts as the distributional similarities of the functional components of the texts. In the case of culinary texts, text elements such as food names, cooking methods, and ingredients are regarded as functional components. We derive the similarity information from the distributional characteristics of the two key functional components, cooking methods and ingredients. The results are also quantified and visualized to achieve a better understanding of the properties of the individual texts and the collection of the texts as a whole.