Bei Song shi wen ge xin yan jiu /--Cheng Jie zhu. (8500)
Thesis (Ph.D.) -- Nanjing shi fan da xue, 1994.
Enrichment Factors of Perfluoroalkyl Oxoanions at the Air/Water Interface (2009)
Psillakis, Elefteria, Cheng, Jie, Hoffmann, M. R., Colussi, A. J.
The refractory, water-bound perfluoro-n-alkyl carboxylate F(CF_2)_nCO_2^− and sulfonate F(CF_2)_nSO_3^− surfactant anions reach remote locations by mechanisms that are not well understood. Here...
Cheng, Jie, Psillakis, Elefteria, Hoffmann, M. R., Colussi, A. J.
Perfluorooctanoate (PFO) and perfluorooctanesulfonate (PFOS) surfactant anions, once released, may rapidly reach remote regions. This phenomenon is puzzling because the water-bound anions of strong...
Vecitis, Chad D., Park, Hyunwoong, Cheng, Jie, Mader , Brian T., Hoffmann, Michael R.
Fluorochemicals (FCs) are oxidatively recalcitrant, environmentally persistent, and resistant to most conventional treatment technologies. FCs have unique physiochemical properties derived from...
Measuring Significance of Community Structure in Complex Networks (2009)
Hu, Yanqing, Nie, Yuchao, Yang, Hua, Cheng, Jie, Fan, Ying, Di, Zengru
Many complex systems can be represented as networks and separating a network into communities could simplify the functional analysis considerably. Recently, many approaches have been proposed for...
Park, Hyunwoong, Vecitis, Chad D., Cheng, Jie, Choi, Wonyong, Mader, Brian T., Hoffmann, Michael R.
Perfluorinated chemicals (PFCs) are distributed throughout the environment. In the case of perfluorinated alkyl carboxylates and sulfonates, they can be classified as persistent organic pollutants...
Degree name: thesis
Cheng, Jie, Vecitis, Chad D., Park, Hyunwoong, Mader, Brian T., Hoffmann, Michael R.
Perfluorinated chemicals such as perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA) are environmentally persistent and recalcitrant to most conventional chemical and microbial...
Achieving new developments in DNA nanotechnology by means of DNA self-assembly (2008)
Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2008
How an Expert can use Imperfect Knowledge to Improve an Imperfect Theory (2007)
Russell Greiner, Jie Cheng, Christian Darken
This report addresses the challenge of using auxiliary information I A to improve a given theory, encoded as a belief net BE . In contrast with many other "knowledge revision" systems, we...
Learning Bayesian Networks from Data: An Information-Theory Based Approach (2007)
Jie Cheng, Russell Greiner, Jonathan Kelly, David Bell, Weiru Liu
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop efficient algorithms...
Xiao Ping Wang, Jun Jie Ju, Jie Cheng, Zheng Ping Hao, Xu, Zhi P.
Various XnY3−nAl-hydrotalcite-like compounds (HTlcs) were synthesized by the constant pH coprecipitation method with the (X2+ + Y2+)/Al3+ molar ratio fixed at 3.0. Well-mixed oxides XnY3−nAlO...
HLA and NK cell inhibitory receptor genes in resolving hepatitis C virus infection (2004)
Khakoo, Salim I., Thio, Chloe L., Martin, Maureen P., Brooks, Collin R., Gao, Xiaojiang, Astemborski, Jacquie, ...
Natural killer (NK) cells provide a central defense against viral infection by using inhibitory and activation receptors for major histocompatibility complex class I molecules as a means of...
HLA and NK cell inhibitory receptor genes in resolving hepatitis C virus infection (2004)
Khakoo, Salim I., Thio, Chloe L., Martin, Maureen P., Brooks, Collin R., Gao, Xiaojiang, Astemborski, Jacquie, ...
Natural killer (NK) cells provide a central defense against viral infection by using inhibitory and activation receptors for major histocompatibility complex class I molecules as a means of...
Mining Optimal Actions for Profitable CRM (2002)
Charles X. Ling, Charles Ling Tielin, Qiang Yang, Jie Cheng
Data mining has been applied to CRM (Customer Relationship Management) in many industries witha limited success. Most data mining tools can only discover customer models or profiles (such as...
1 Abstract Learning Bayesian Networks from Data: An Information-Theory Based Approach (2001)
Jie Cheng, Russell Greiner, Jonathan Kelly, David Bell, Weiru Liu
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop efficient algorithms...
Learning Bayesian Belief Network Classifiers: Algorithms and System (2001)
This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN)-- primarily unrestricted Bayesian networks and Bayesian multinets. We present our...
Learning Bayesian Belief Network Classifiers: Algorithms and System (2001)
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian multi-nets. We...
Learning Bayesian Belief Network Classifiers: Algorithms and System (2001)
This paper investigates the methods for learning Bayesian belief network (BN) based predictive models for classification. Our primary interests are in the unrestricted Bayesian network and Bayesian...
1 Abstract Learning Bayesian Networks from Data: An Information-Theory Based Approach (2001)
Jie Cheng, Russell Greiner, Jonathan Kelly, David Bell, Weiru Liu
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop efficient algorithms...
Bibliography: leaves [85]-88.
Comparing Bayesian Network Classifiers (1999)
In this paper, we empirically evaluate algorithms for learning four types of Bayesian network (BN) classifiers -- Naïve-Bayes, tree augmented Naïve-Bayes, BN augmented Naïve-Bayes and general BNs,...
Comparing Bayesian Network Classifiers (1999)
In this paper, we empirically evaluate algorithms for learning four types of Bayesian network (BN) classifiers -- Naïve-Bayes, tree augmented Naïve-Bayes (TANs), BN augmented Naïve-Bayes (BANs)...
Comparing Bayesian Network Classifiers (1999)
In this paper, we empirically evaluate algorithms for learning four Bayesian network (BN) classifiers: Naïve-Bayes, tree augmented Naïve-Bayes (TANs), BN augmented NaïveBayes (BANs) and general...
Learning Bayesian networks from data : an information theory based approach. (1998)
Thesis (Ph. D.)--University of Ulster, 1998.
Regulation of phosphatidylcholine hydrolysis in cell growth and transformation / (1997)
Thesis (Ph. D.)--Johns Hopkins University, 1997.
Warm prestressing effects in steels. (1997)
Thesis (Ph. D.)--University of Liverpool, 1997.
Learning Bayesian Networks from Data: An Efficient Approach Based on Information Theory (1997)
Jie Cheng, David Bell, Weiru Liu
This paper addresses the problem of learning Bayesian network structures from data by using an information theoretic dependency analysis approach. Based on our three-phase construction mechanism, two...
Learning bayesian networks from data: An efficient approach based on information theory (1997)
Jie Cheng, David Bell, Weiru Liu
This paper addresses the problem of learning Bayesian network structures from data by using an information theoretic dependency analysis approach. Based on our three-phase construction mechanism, two...
An Algorithm for Bayesian Belief Network Construction from Data (1997)
Jie Cheng, David A. Bell, Weiru Liu
This paper presents an efficient algorithm for constructing Bayesian belief networks from databases. The algorithm takes a database and an attributes ordering (i.e., the causal attributes of an...
Thesis (M.S.)--Kansas State University, 1996.
Thesis (M.S.)--Tennessee Technological University, 1993.
Emperor Chengzu and Taoism / (1993)
Thesis (M.A.)--University of California, Santa Barbara, 1993.
Immunohistochemical localization of progesterone receptor in human decidua of early pregnancy (1992)
Wang, Jie-Dong, Fu, Yao, Shi, Wen-Liang, Zhu, Peng-Di, Cheng, Jie, Qiao, Gen-Mei, ...
Rat monoclonal antibodies to human progesterone receptor were used for immunolocalization studies in human decidua of early pregnancy. Frozen sections of 42 specimens of decidua were stained by the...
Performance monitoring in transputer-based multicomputer networks--[microform]. (1991)
University Microfilms order no. UMI00288184.
DERIVING SUBGOAL ORDERING CONSTRAINTS PRIOR TO PROBLEM SOLVING AND PLANNING. (1991)
Subgoal ordering is an important search control strategy in planning and problem solving. Failure to properly order problem subgoals may result in less optimal problem solutions, may cause otherwise...
Ordering problem subgoals (1989)
Most past research work on problem subgoal ordering are of a heuristic nature and very little attempt has been made to reveal the inherent relationship between subgoal ordering constraints and...
Novel Member of the CD209 (DC-SIGN) Gene Family in Primates
Bashirova, Arman A., Wu, Li, Cheng, Jie, Martin, Thomas D., Martin, Maureen P., Benveniste, Raoul E., ...
Two CD209 family genes identified in humans, CD209 (DC-SIGN) and CD209L (DC-SIGNR/L-SIGN), encode C-type lectins that serve as adhesion receptors for ICAM-2 and ICAM-3 and participate in the...
Bashirova, Arman A., Bleiber, Gabriela, Qi, Ying, Hutcheson, Holli, Yamashita, Traci, Johnson, Randall C., ...
Tumor susceptibility gene 101 (TSG101) encodes a host cellular protein that is appropriated by human immunodeficiency virus type 1 (HIV-1) in the budding process of viral particles from infected...
Novel Member of the CD209 (DC-SIGN) Gene Family in Primates
Bashirova, Arman A., Wu, Li, Cheng, Jie, Martin, Thomas D., Martin, Maureen P., Benveniste, Raoul E., ...
Two CD209 family genes identified in humans, CD209 (DC-SIGN) and CD209L (DC-SIGNR/L-SIGN), encode C-type lectins that serve as adhesion receptors for ICAM-2 and ICAM-3 and participate in the...
Bashirova, Arman A., Bleiber, Gabriela, Qi, Ying, Hutcheson, Holli, Yamashita, Traci, Johnson, Randall C., ...
Tumor susceptibility gene 101 (TSG101) encodes a host cellular protein that is appropriated by human immunodeficiency virus type 1 (HIV-1) in the budding process of viral particles from infected...
Inherited Arrhythmic Disorders: Long QT and Brugada Syndromes
Nader, Amirali, Massumi, Ali, Cheng, Jie, Razavi, Mehdi
Inherited arrhythmic disorders comprise a group of syndromes with unique genetic abnormalities and presentations but with very similar clinical outcomes and complications, the most terrifying of...
Carrington, Mary, Wang, Sophia, Martin, Maureen P., Gao, Xiaojiang, Schiffman, Mark, Cheng, Jie, ...
Killer immunoglobulin-like receptor (KIR) recognition of specific human histocompatibility leukocyte antigen (HLA) class I allotypes contributes to the array of receptor–ligand interactions that...
Blue Box Policy Reform in the Doha Round Negotiations: Effects and China's Position
Jie Cheng, Laping Wu, Richard W. Dawson
This paper uses an agricultural trade policy simulation model to quantitatively evaluate the effects of Blue Box policy reform on agricultural production and trade, and further provides specific...
Learning Belief Networks from Data: An Information Theory Based Approach
Jie Cheng, David A. Bell, Weiru Liu
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structure as output. The...