• Language and Information
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• v.7 no.1
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• pp.87-99
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• 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
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• v.2 no.1
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• pp.23-27
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• 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
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• v.21 no.1
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• pp.7-13
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• 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.

• Journal of the Korean Society for information Management
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• v.24 no.4
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• pp.267-283
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• 2007

In this study, measures of distributional similarity such as KL-divergence are applied to cluster documents instead of traditional cosine measure, which is the most prevalent vector similarity measure for document clustering. Three variations of KL-divergence are investigated; Jansen-Shannon divergence, symmetric skew divergence, and minimum skew divergence. In order to verify the contribution of distributional similarities to document clustering, two experiments are designed and carried out on three test collections. In the first experiment the clustering performances of the three divergence measures are compared to that of cosine measure. The result showed that minimum skew divergence outperformed the other divergence measures as well as cosine measure. In the second experiment second-order distributional similarities are calculated with Pearson correlation coefficient from the first-order similarity matrixes. From the result of the second experiment, secondorder distributional similarities were found to improve the overall performance of document clustering. These results suggest that minimum skew divergence must be selected as document vector similarity measure when considering both time and accuracy, and second-order similarity is a good choice for considering clustering accuracy only.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1990.04a
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• pp.272-288
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• 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.

• Journal of the Korea Safety Management & Science
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• v.6 no.1
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• pp.125-133
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• 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".

• Proceedings of the Korean Society for Language and Information Conference
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• 1986.02a
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• pp.137-151
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• 1986

• Journal of Sasang Constitutional Medicine
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• v.23 no.3
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• pp.361-373
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• 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.

• Journal of Digital Convergence
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• v.16 no.4
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• pp.55-67
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• 2018

The organizational politics strengthened resistance to change. This study explores how the organizational political perception and fairness in split firms affect resistance to change. The analysis showed that the boss's and colleague's politics is minimized by its distributional fairness and procedural fairness. The organizational politics strengthened resistance to change. Additionally, mediating effects of fairness were analyzed. As a result, it was revealed that the perception of organized politics by bosses and that colleagues' perception of organizational politics affected resistance to change based on distributional fairness. However, it was shown that procedural fairness had no mediating roles between organizational politics and change resistance. There is a need to pay keen attention to distributional fairness to minimize the resistance to changes of organizational members at the split. If distributional fairness is not secure, Members will be a political behavior.

• Language and Information
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• v.14 no.2
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• pp.131-157
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• 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.