Showing results 4881 to 4900 of 11411
PREDICTING MEMORY FOR COMPONENTS OF TV COMMERCIALS FROM EEG Rothschildand, Michael L.; Hyun, Yong Jin, JOURNAL OF CONSUMER RESEARCH, v.16, no.4, pp.472 - 478, 1990-03 |
Predicting the mobile consumer purchase behavior using quantified visual preferences = 정량화된 시각적선호도를 이용한 모바일 소비자 구매행태 예측link Yu, Young Joon; Ahn, Jae Hyeon; et al, 한국과학기술원, 2017 |
Predicting the mobile consumer purchase behavior using quantified visual preferences Yu, Youngjoon; Ahn, Jae-Hyeon, 17th International Conference on Electronic Business: Smart Cities, ICEB 2017, pp.173 - 185, International Consortium for Electronic Business, 2017-12 |
Predicting turning points in business cycles by detection of slope charges in dynamic linear model = 선형동적모형의 기울기 변화 감지를 이용한 경기전환점의 예측에 관한 연구link Joo, Young-Jin; 주영진; et al, 한국과학기술원, 1991 |
PREDICTING TURNING-POINTS IN BUSINESS CYCLES BY DETECTION OF SLOPE CHANGES IN THE LEADING COMPOSITE INDEX Jun, Duk Bin; JOO, YJ, JOURNAL OF FORECASTING, v.12, no.3-4, pp.197 - 213, 1993-04 |
Predicting USDKRW volatility : does jump have information? = 달러원 환율의 변동성 예측 : 가격 점프의 정보력link Kim, Hongsik; Cho, Hoon; et al, 한국과학기술원, 2020 |
Prediction and Detection of turning point in business cycle by structural change detection and adaptive forecasting 전덕빈; 김승현, 2009년 한국경영과학회 추계학술대회, 한국경영과학회, 2009-10 |
Prediction and Detection of turning point in business cycle by structural change detection and adaptive forecasting Jun, Duk Bin; Kim, Seunghyun, 30th International Symposium on Forecasting, The International Institute of Forecasters, 2010-06 |
Prediction and Detection of turning point in business cycle by structural change detection and adaptive forecasting 전덕빈; 김승현, 2010년 한국경영과학회 추계학술대회, 한국경영과학회, 2010-10 |
Prediction model of post merger performance = M&A 성과 예측 모델link Pae, Yun-Taek; 배윤택; et al, 한국정보통신대학교, 2005 |
Prediction Model of Post-merger Performance 남찬기; 배윤택; 이준서, 금융연구, v.22, no.4, pp.57 - 80, 2008-12 |
Prediction of 1-year Graft Survival Rates in Kidney Transplantation: A Bayesian Network Model Ahn, Jae-Hyeon; Kwon, Jae-Won; Lee, Yung-Sup, INFORMS-KORMS International conference, Seoul 2000, pp.505 - 513, The Korean Operations Research and Management Science Society, 2000 |
Prediction of the emergence of solid-state battery technology in the post-lithium ion battery era: a patent-based approach Kim, Jieun; Kim, Zhunwoo; Lee, Duk Hee, INTERNATIONAL JOURNAL OF GREEN ENERGY, v.21, no.6, pp.1210 - 1225, 2024-05 |
Prediction of the Price for Stock Index Futures using Integrated Artificial Intelligence Techniques with Categorical Preprocessing Han, Ingoo; Kim, Kyoung-jae, 한국경영과학회 1997년도 추계학술대회, pp.105 - 108, 한국경영과학회, 1997-11 |
Prediction on Changes in Market Share after New Store Entry Jun, Duk Bin; Kim, Jungki, 2008 INFORMS Marketing Science Conference, INFORMS, 2008-06 |
Predictors of renal outcome in diffuse proliferative lupus nephropathy: data from repeat renal biopsy Yoo, CW; Kim, Mi-Kyung; Lee, HS, NEPHROLOGY DIALYSIS TRANSPLANTATION, v.15, no.10, pp.1604 - 1608, 2000-10 |
Preface Lee, Jae Kyu; Han, In goo, International Journal of Intelligent Systems in Accounting, Finance and Management Vol. 8, No. 1, March 1999, pp. 1-1(1), 1999-03 |
Preface Lee, Jae Kyu; Han, In goo, International Journal of Intelligent Systems in Accounting, Finance and Management, Vol.8, No.1, 1999 |
[Preface Paper]Creating Synergy Business on the SOLOMO Media 송재기; 이재규, Asia Pacific Journal of Information Systems, v.22, no.4, pp.1 - 5, 2012-12 |
Preference Revision in Joint Choice Decisions Kang, Moon Young; Neearj Arora; Anocha Aribarg, 2007 INFORMS Marketing Science Conference, The Institute for Operations Research and the Management Science, 2007 |
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