Chi-Hoon Lee - researchr alias

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Viewing Publication 1 - 24 from 24

2018

Single-transform formulas for pricing Asian options in a general approximation framework under Markov processesZhenyu Cui, Chi-Hoon Lee, Yanchu Liu. eor, 266(3):1134-1139, 2018. [doi]

On Optimizing Operational Efficiency in Storage Systems via Deep Reinforcement LearningSunil Srinivasa, Girish Kathalagiri, Julu Subramanyam Varanasi, Luis Carlos Quintela, Mohamad Charafeddine, Chi-Hoon Lee. pkdd 2019: 238-253 [doi]

2014

Learning to predict trending queries: classification - basedChi-Hoon Lee, Hengshuai Yao, Xu He, Su Han Chan, JieYang Chang, Farzin Maghoul. WWW 2014: 335-336 [doi]

2011

Assisting web search users by destination reachabilityChi-Hoon Lee, Alpa Jain, Larry Lai. CIKM 2011: 719-728 [doi]

2010

Learning to combine discriminative classifiers: confidence basedChi-Hoon Lee. kdd 2010: 743-752 [doi]

2009

Information theoretic regularization for semi-supervised boostingLei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee. kdd 2009: 1017-1026 [doi]

2008

2006

A P2P Broadcasting Scheme for Video on Demand ServicesHwang Kyu Choi, Yi Qi Gui, Eysuk Jung, Chi-Hoon Lee, In Bum Jung, Chang Yeol Choi. pdpta 2006: 177-183

Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and LabelingFeng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Greiner, Dale Schuurmans. acl 2006: [doi]

Network Intrusion Detection Through Genetic Feature SelectionChi-Hoon Lee, Jin-Wook Chung, Sung Woo Shin. snpd 2006: 109-114 [doi]

Using query-specific variance estimates to combine Bayesian classifiersChi-Hoon Lee, Russell Greiner, Shaojun Wang. icml 2006: 529-536 [doi]

Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random FieldsChi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner. nips 2007: 793-800 [doi]

Efficient Spatial Classification Using Decoupled Conditional Random FieldsChi-Hoon Lee, Russell Greiner, Osmar R. Zaïane. pkdd 2006: 272-283 [doi]

Using Attack-Specific Feature Subsets for Network Intrusion DetectionSung Woo Shin, Chi-Hoon Lee. ausai 2006: 305-311 [doi]

2005

Segmenting Brain Tumors with Conditional Random Fields and Support Vector MachinesChi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bistritz, Jörg Sander, Russell Greiner. cvbia 2005: 469-478 [doi]

Support Vector Random Fields for Spatial ClassificationChi-Hoon Lee, Russell Greiner, Mark Schmidt. pkdd 2005: 121-132 [doi]

2002

Clustering Spatial Data when Facing Physical ConstraintsOsmar R. Zaïane, Chi-Hoon Lee. icdm 2002: 737-740 [doi]

On Data Clustering Analysis: Scalability, Constraints, and ValidationOsmar R. Zaïane, Andrew Foss, Chi-Hoon Lee, Weinan Wang. pakdd 2002: 28-39 [doi]

Clustering Spatial Data in the Presence of Obstacles: a Density-Based ApproachOsmar R. Zaïane, Chi-Hoon Lee. ideas 2002: 214-223 [doi]

2001

Web personalization expert with combining collaborative filtering and association rule mining techniqueChi-Hoon Lee, Y.-H. Kim, Phill-Kyu Rhee. eswa, 21(3):131-137, 2001. [doi]

2000

Document ontology based personalized filtering system (poster session)Kyung-Sam Choi, Chi-Hoon Lee, Phill-Kyu Rhee. mm 2000: 362-364 [doi]

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