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Byoung-Tak Zhang
2010 – today
- 2013
[j41]Hee-Woong Lim, Seung Hwan Lee, Kyung-Ae Yang, Suk-In Yoo, Tai Hyun Park, Byoung-Tak Zhang: Biomolecular computation with molecular beacons for quantitative analysis of target nucleic acids. Biosystems 111(1): 11-17 (2013)- [c100]Byoung-Tak Zhang: Information-Theoretic Objective Functions for Lifelong Learning. AAAI Spring Symposium: Lifelong Machine Learning 2013
- [c99]Beom-Jin Lee, Jung-Wo Ha, Kyung-Min Kim, Byoung-Tak Zhang: Evolutionary concept learning from cartoon videos by multimodal hypernetworks. IEEE Congress on Evolutionary Computation 2013: 1186-1192
- 2012
- [j40]Je-Gun Joung, Soo-Jin Kim, Soo-Yong Shin, Byoung-Tak Zhang: A probabilistic coevolutionary biclustering algorithm for discovering coherent patterns in gene expression dataset. BMC Bioinformatics 13(S-17): S12 (2012)
- [c98]Jun Hee Yoo, Ho-Sik Seok, Byoung-Tak Zhang: Evolutionary particle filtering for sequential dependency learning from video data. IEEE Congress on Evolutionary Computation 2012: 1-8
- [c97]Seung-Joon Yi, Byoung-Tak Zhang, Dennis Hong, Daniel D. Lee: Active stabilization of a humanoid robot for impact motions with unknown reaction forces. IROS 2012: 4034-4039
- [c96]JungWoo Ha, Beom-Jin Lee, Byoung-Tak Zhang: Text-to-image retrieval based on incremental association via multimodal hypernetworks. SMC 2012: 3245-3250
- 2011
- [j39]Ji-Hoon Lee, Seung Hwan Lee, Won-Hyong Chung, Eun-Seok Lee, Tai Hyun Park, Russell Deaton, Byoung-Tak Zhang: A DNA assembly model of sentence generation. Biosystems 106(1): 51-56 (2011)
- [j38]Sangyoon Oh, Min Su Lee, Byoung-Tak Zhang: Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification. IEEE/ACM Trans. Comput. Biology Bioinform. 8(2): 316-325 (2011)
- [j37]Ho-Sik Seok, Kyu Baek Hwang, Byoung-Tak Zhang: Feature Relevance Network-Based Transfer Learning for Indoor Location Estimation. IEEE Transactions on Systems, Man, and Cybernetics, Part C 41(5): 711-719 (2011)
- [c95]Bado Lee, Ho-Sik Seok, Byoung-Tak Zhang: Evolving a population code for multimodal concept learning. IEEE Congress on Evolutionary Computation 2011: 699-706
- [c94]Eun-Sol Kim, JungWoo Ha, Wi Hoon Jung, Joon Hwan Jang, Jun Soo Kwon, Byoung-Tak Zhang: Mutual information-based evolution of hypernetworks for brain data analysis. IEEE Congress on Evolutionary Computation 2011: 2611-2617
- [c93]Ji-Hoon Lee, Bado Lee, Joon Shik Kim, Russell Deaton, Byoung-Tak Zhang: A molecular evolutionary algorithm for learning hypernetworks on simulated DNA computers. IEEE Congress on Evolutionary Computation 2011: 2735-2742
- [c92]Seung-Joon Yi, Byoung-Tak Zhang, Dennis Hong, Daniel D. Lee: Online learning of a full body push recovery controller for omnidirectional walking. Humanoids 2011: 1-6
- [c91]Seung-Joon Yi, Byoung-Tak Zhang, Dennis Hong, Daniel D. Lee: Learning full body push recovery control for small humanoid robots. ICRA 2011: 2047-2052
- [c90]Seung-Joon Yi, Byoung-Tak Zhang, Dennis Hong, Daniel D. Lee: Practical bipedal walking control on uneven terrain using surface learning and push recovery. IROS 2011: 3963-3968
- 2010
- [j36]Hee-Woong Lim, Seung Hwan Lee, Kyung-Ae Yang, Ji Youn Lee, Suk-In Yoo, Tai Hyun Park, Byoung-Tak Zhang: In vitro molecular pattern classification via DNA-based weighted-sum operation. Biosystems 100(1): 1-7 (2010)
- [j35]Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee: Fluid Dynamics Models for Low Rank Discriminant Analysis. Journal of Machine Learning Research - Proceedings Track 9: 565-572 (2010)
- [c89]Seung-Joon Yi, Byoung-Tak Zhang, Daniel D. Lee: Online Learning of Uneven Terrain for Humanoid Bipedal Walking. AAAI 2010
- [c88]Minkyoung Kim, Byoung-Tak Zhang, June-Sup Lee: Subjective Document Classification Using Network Analysis. ASONAM 2010: 365-369
- [c87]Soo-Jin Kim, JungWoo Ha, Bado Lee, Byoung-Tak Zhang: Evolutionary layered hypernetworks for identifying microRNA-mRNA regulatory modules. IEEE Congress on Evolutionary Computation 2010: 1-8
- [c86]Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee: Generative Local Metric Learning for Nearest Neighbor Classification. NIPS 2010: 1822-1830
- [c85]Umer Fareed, Byoung-Tak Zhang: MMG: A Learning Game Platform for Understanding and Predicting Human Recall Memory. PKAW 2010: 300-309
- [c84]JungWoo Ha, Byoung-Hee Kim, Bado Lee, Byoung-Tak Zhang: Layered Hypernetwork Models for Cross-Modal Associative Text and Image Keyword Generation in Multimodal Information Retrieval. PRICAI 2010: 76-87
- [c83]Min-Oh Heo, Myunggu Kang, Byoung-Tak Zhang: Visual Query Expansion via Incremental Hypernetwork Models of Image and Text. PRICAI 2010: 88-99
- [e1]Byoung-Tak Zhang, Mehmet A. Orgun (Eds.): PRICAI 2010: Trends in Artificial Intelligence, 11th Pacific Rim International Conference on Artificial Intelligence, Daegu, Korea, August 30-September 2, 2010. Proceedings. Lecture Notes in Computer Science 6230, Springer 2010, ISBN 978-3-642-15245-0
2000 – 2009
- 2009
- [j34]Sun Kim, Jeongmi Kim, Byoung-Tak Zhang: Ensembled support vector machines for human papillomavirus risk type prediction from protein secondary structures. Comp. in Bio. and Med. 39(2): 187-193 (2009)
- [j33]Soo-Yong Shin, In-Hee Lee, Young-Min Cho, Kyung-Ae Yang, Byoung-Tak Zhang: EvoOligo: Oligonucleotide Probe Design With Multiobjective Evolutionary Algorithms. IEEE Transactions on Systems, Man, and Cybernetics, Part B 39(6): 1606-1616 (2009)
- [c82]Byoung-Tak Zhang: Teaching an Agent by Playing a Multimodal Memory Game: Challenges for Machine Learners and Human Teachers. AAAI Spring Symposium: Agents that Learn from Human Teachers 2009: 144-
- [c81]Minkyoung Kim, Byoung-Tak Zhang, June-Sup Lee: Dynamic and Static Influence Models on Starbucks Networks. ASONAM 2009: 344-347
- [c80]Min Su Lee, Je-Keun Rhee, Byoung-Hee Kim, Byoung-Tak Zhang: AESNB: Active Example Selection with Naive Bayes Classifier for Learning from Imbalanced Biomedical Data. BIBE 2009: 15-21
- [c79]Min Su Lee, Sangyoon Oh, Byoung-Tak Zhang: Ensemble Learning Based on Active Example Selection for Solving Imbalanced Data Problem in Biomedical Data. BIBM 2009: 350-355
- [c78]Minkyoung Kim, Byoung-Tak Zhang, June-Sup Lee: Social Influence Models Based on Starbucks Networks. CASoN 2009: 3-9
- [c77]Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian, Byoung-Tak Zhang: Evolving hypernetwork models of binary time series for forecasting price movements on stock markets. IEEE Congress on Evolutionary Computation 2009: 166-173
- [c76]JungWoo Ha, Joon Hwan Jang, Do-Hyung Kang, Wi Hoon Jung, Jun Soo Kwon, Byoung-Tak Zhang: Gender classification with cortical thickness measurement from magnetic resonance imaging by using a feature selection method based on evolutionary hypernetworks. FUZZ-IEEE 2009: 41-46
- [c75]Hyun-Woo Kim, Byoung-Hee Kim, Byoung-Tak Zhang: Evolutionary hypernetworks for learning to generate music from examples. FUZZ-IEEE 2009: 47-52
- [c74]Jakramate Bootkrajang, Sun Kim, Byoung-Tak Zhang: Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filtering. GECCO 2009: 185-192
- 2008
- [j32]Joon Shik Kim, Ji-Woo Lee, Yung-Kyun Noh, Ji-Yoon Park, Dong-Yoon Lee, Kyung-Ae Yang, Young-Gyu Chai, Jong Chan Kim, Byoung-Tak Zhang: An evolutionary Monte Carlo algorithm for predicting DNA hybridization. Biosystems 91(1): 69-75 (2008)
- [j31]Jae-Hong Eom, Sung-Chun Kim, Byoung-Tak Zhang: AptaCDSS-E: A classifier ensemble-based clinical decision support system for cardiovascular disease level prediction. Expert Syst. Appl. 34(4): 2465-2479 (2008)
- [j30]Sun Kim, Soo-Yong Shin, In-Hee Lee, Soo-Jin Kim, Ram Sriram, Byoung-Tak Zhang: PIE: an online prediction system for protein-protein interactions from text. Nucleic Acids Research 36(Web-Server-Issue): 411-415 (2008)
- [c73]Byoung-Tak Zhang: Cognitive learning and the multimodal memory game: Toward human-level machine learning. IJCNN 2008: 3261-3267
- 2007
- [j29]Je-Gun Joung, Kyu Baek Hwang, Jin-Wu Nam, Soo-Jin Kim, Byoung-Tak Zhang: Discovery of microRNA-mRNA modules via population-based probabilistic learning. Bioinformatics 23(9): 1141-1147 (2007)
- [j28]Joon Shik Kim, Jong Chan Kim, Jangmin O, Byoung-Tak Zhang: A Global Minimization Algorithm Based on a Geodesic of a Lagrangian Formulation of Newtonian Dynamics. Neural Processing Letters 26(2): 121-131 (2007)
- [c72]Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Cho, Byoung-Tak Zhang: Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm. BIBE 2007: 158-163
- [c71]Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang: Evolving hypernetwork classifiers for microRNA expression profile analysis. IEEE Congress on Evolutionary Computation 2007: 313-319
- [c70]Joo-Kyung Kim, Byoung-Tak Zhang: Evolving hypernetworks for pattern classification. IEEE Congress on Evolutionary Computation 2007: 1856-1862
- [c69]Jin-Wu Nam, In-Hee Lee, Kyu Baek Hwang, Seong-Bae Park, Byoung-Tak Zhang: Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms. EvoBIO 2007: 176-186
- [c68]Byoung-Tak Zhang: Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency. FOCI 2007: 344-349
- [c67]JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Tak Zhang: Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis. GECCO (Companion) 2007: 2709-2716
- 2006
- [j27]Dong-Yeon Cho, Kwang-Hyun Cho, Byoung-Tak Zhang: Identification of biochemical networks by S-tree based genetic programming. Bioinformatics 22(13): 1631-1640 (2006)
- [j26]Je-Gun Joung, Dong-Ho Shin, Rho Hyun Seong, Byoung-Tak Zhang: Identification of regulatory modules by co-clustering latent variable models: stem cell differentiation. Bioinformatics 22(16): 2005-2011 (2006)
- [j25]Sok June Oh, Je-Gun Joung, Jeong Ho Chang, Byoung-Tak Zhang: Construction of phylogenetic trees by kernel-based comparative analysis of metabolic networks. BMC Bioinformatics 7: 284 (2006)
- [j24]Sung-Kyu Kim, Jin-Wu Nam, Je-Keun Rhee, Wha-Jin Lee, Byoung-Tak Zhang: miTarget: microRNA target gene prediction using a support vector machine. BMC Bioinformatics 7: 411 (2006)
- [j23]Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang: Protein sequence-based risk classification for human papillomaviruses. Comp. in Bio. and Med. 36(6): 656-667 (2006)
- [j22]Jangmin O, Jongwoo Lee, Jae Won Lee, Byoung-Tak Zhang: Adaptive stock trading with dynamic asset allocation using reinforcement learning. Inf. Sci. 176(15): 2121-2147 (2006)
- [j21]Jin-Wu Nam, Jinhan Kim, Sung-Kyu Kim, Byoung-Tak Zhang: ProMiR II: a web server for the probabilistic prediction of clustered, nonclustered, conserved and nonconserved microRNAs. Nucleic Acids Research 34(Web-Server-Issue): 455-458 (2006)
- [c66]Byoung-Tak Zhang, Joo-Kyung Kim: DNA Hypernetworks for Information Storage and Retrieval. DNA 2006: 298-307
- [c65]In-Hee Lee, Soo-Yong Shin, Byoung-Tak Zhang: Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm. EMO 2006: 376-385
- [c64]Kee-Young Kim, Dong-Yeon Cho, Byoung-Tak Zhang: Multi-stage Evolutionary Algorithms for Efficient Identification of Gene Regulatory Networks. EvoWorkshops 2006: 45-56
- [c63]Sun Kim, Byoung-Tak Zhang: Human Papillomavirus Risk Type Classification from Protein Sequences Using Support Vector Machines. EvoWorkshops 2006: 57-66
- [c62]Soo-Yong Shin, In-Hee Lee, Byoung-Tak Zhang: Microarray Probe Design Using epsilon-Multi-Objective Evolutionary Algorithms with Thermodynamic Criteria. EvoWorkshops 2006: 184-195
- [c61]Jae-Hong Eom, Byoung-Tak Zhang: Prediction of Protein Interaction with Neural Network-Based Feature Association Rule Mining. ICONIP (3) 2006: 30-39
- [c60]Kyu Baek Hwang, Byoung-Hee Kim, Byoung-Tak Zhang: Learning Hierarchical Bayesian Networks for Large-Scale Data Analysis. ICONIP (1) 2006: 670-679
- [c59]Jae-Hong Eom, Byoung-Tak Zhang: Mining Protein Interaction from Biomedical Literature with Relation Kernel Method. ISNN (2) 2006: 642-647
- [c58]Jae-Hong Eom, Sun Kim, Seong-Hwan Kim, Byoung-Tak Zhang: A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature. KDLL 2006: 42-52
- 2005
- [j20]Sek Won Kong, Kyu Baek Hwang, Richard D. Kim, Byoung-Tak Zhang, Steven A. Greenberg, Isaac S. Kohane, Peter J. Park: CrossChip: a system supporting comparative analysis of different generations of Affymetrix arrays. Bioinformatics 21(9): 2116-2117 (2005)
- [j19]Jangmin O, Jongwoo Lee, Jae Won Lee, Byoung-Tak Zhang: Dynamic Asset Allocation for Stock Trading Optimized by Evolutionary Computation. IEICE Transactions 88-D(6): 1217-1223 (2005)
- [j18]Jeong Ho Chang, Kyu Baek Hwang, Sok June Oh, Byoung-Tak Zhang: Bayesian Network Learning with Feature Abstraction for Gene-drug Dependency Analysis. J. Bioinformatics and Computational Biology 3(1): 61-78 (2005)
- [j17]Soo-Yong Shin, In-Hee Lee, Dongmin Kim, Byoung-Tak Zhang: Multiobjective evolutionary optimization of DNA sequences for reliable DNA computing. IEEE Trans. Evolutionary Computation 9(2): 143-158 (2005)
- [j16]Kyu Baek Hwang, Byoung-Tak Zhang: Bayesian model averaging of Bayesian network classifiers over multiple node-orders: application to sparse datasets. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(6): 1302-1310 (2005)
- [c57]Sung-Kyu Kim, Jin-Wu Nam, Wha-Jin Lee, Byoung-Tak Zhang: A Kernel Method for MicroRNA Target Prediction Using Sensible Data and Position-Based Features. CIBCB 2005: 46-52
- [c56]
- [c55]Byoung-Tak Zhang, Ha-Young Jang: Molecular programming: evolving genetic programs in a test tube. GECCO 2005: 1761-1768
- [c54]Jae-Hong Eom, Byoung-Tak Zhang: Prediction of Yeast Protein-Protein Interactions by Neural Feature Association Rule. ICANN (2) 2005: 491-496
- [c53]Jae-Hong Eom, Byoung-Tak Zhang: Extraction of Gene/Protein Interaction from Text Documents with Relation Kernel. KES (2) 2005: 936-942
- 2004
- [j15]Seong-Bae Park, Byoung-Tak Zhang: Co-trained support vector machines for large scale unstructured document classification using unlabeled data and syntactic information. Inf. Process. Manage. 40(3): 421-439 (2004)
- [j14]Derrel Blain, Max H. Garzon, Soo-Yong Shin, Byoung-Tak Zhang, Satoshi Kashiwamura, Masahito Yamamoto, Atsushi Kameda, Azuma Ohuchi: Development, evaluation and benchmarking of simulation software for biomolecule-based computing. Natural Computing 3(4): 427-442 (2004)
- [c52]Jae-Hong Eom, Byoung-Tak Zhang: PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining. AIMSA 2004: 216-225
- [c51]Seong-Bae Park, Jeong Ho Chang, Byoung-Tak Zhang: Korean Compound Noun Decomposition Using Syllabic Information Only. CICLing 2004: 146-157
- [c50]Jae-Hong Eom, Byoung-Tak Zhang: BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platform. CIT 2004: 11-20
- [c49]Jae-Hong Eom, Byoung-Tak Zhang: Adaptive Neural Network-Based Clustering of Yeast Protein-Protein Interactions. CIT 2004: 49-57
- [c48]Ji Youn Lee, Hee-Woong Lim, Suk-In Yoo, Byoung-Tak Zhang, Tai Hyun Park: Efficient Initial Pool Generation for Weighted Graph Problems Using Parallel Overlap Assembly. DNA 2004: 215-223
- [c47]Byoung-Tak Zhang, Ha-Young Jang: A Bayesian Algorithm for In Vitro Molecular Evolution of Pattern Classifiers. DNA 2004: 458-467
- [c46]Jangmin O, Jae Won Lee, Jongwoo Lee, Byoung-Tak Zhang: Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework. ECML 2004: 298-309
- [c45]Jin-Wu Nam, Je-Gun Joung, Y. S. Ahn, Byoung-Tak Zhang: Two-Step Genetic Programming for Optimization of RNA Common-Structure. EvoWorkshops 2004: 73-83
- [c44]Jae-Hong Eom, Seong-Bae Park, Byoung-Tak Zhang: Genetic Mining of DNA Sequence Structures for Effective Classification of the Risk Types of Human Papillomavirus (HPV). ICONIP 2004: 1334-1343
- [c43]Jae-Hong Eom, Jeong Ho Chang, Byoung-Tak Zhang: Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining. IDEAL 2004: 85-91
- [c42]Byoung-Hee Kim, Seong-Bae Park, Byoung-Tak Zhang: PromSearch: A Hybrid Approach to Human Core-Promoter Prediction. IDEAL 2004: 125-131
- [c41]Jangmin O, Jae Won Lee, Sung-Bae Park, Byoung-Tak Zhang: Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks. IDEAL 2004: 794-799
- [c40]Dong-Yeon Cho, Byoung-Tak Zhang: Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model. PPSN 2004: 212-221
- [c39]Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang: Searching Transcriptional Modules Using Evolutionary Algorithms. PPSN 2004: 532-540
- [c38]Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang: Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines. PRICAI 2004: 723-731
- [c37]Jin-Wu Nam, Wha-Jin Lee, Byoung-Tak Zhang: Computational Methods for Identification of Human microRNA Precursors. PRICAI 2004: 732-741
- [c36]In-Hee Lee, Sun Kim, Byoung-Tak Zhang: Multi-objective Evolutionary Probe Design Based on Thermodynamic Criteria for HPV Detection. PRICAI 2004: 742-750
- 2003
- [j13]Sun Kim, Byoung-Tak Zhang: Genetic Mining of HTML Structures for Effective Web-Document Retrieval. Appl. Intell. 18(3): 243-256 (2003)
- [j12]Seong-Bae Park, Byoung-Tak Zhang, Yung Taek Kim: Word Sense Disambiguation by Learning Decision Trees from Unlabeled Data. Appl. Intell. 19(1-2): 27-38 (2003)
- [j11]Byoung-Tak Zhang, Jinsan Yang, Sung Wook Chi: Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling. Machine Learning 52(1-2): 67-89 (2003)
- [c35]Seong-Bae Park, Byoung-Tak Zhang: Text Chunking by Combining Hand-Crafted Rules and Memory-Based Learning. ACL 2003: 497-504
- [c34]Seong-Bae Park, Sohyun Hwang, Byoung-Tak Zhang: Mining the Risk Types of Human Papillomavirus (HPV) by AdaCost. DEXA 2003: 403-412
- [c33]Hee-Woong Lim, Hae-Man Jang, Sung-Mo Ha, Young-Gyu Chai, Suk-In Yoo, Byoung-Tak Zhang: A Lab-on-a-Chip Module for Bead Separation in DNA-Based Concept Learning. DNA 2003: 1-10
- [c32]In-Hee Lee, Ji-Yoon Park, Young-Gyu Chai, Byoung-Tak Zhang: RCA-Based Detection Methods for Resolution Refutation. DNA 2003: 32-36
- [c31]Seong-Bae Park, Sohyun Hwang, Byoung-Tak Zhang: Classification of the Risk Types of Human Papillomavirus by Decision Trees. IDEAL 2003: 540-544
- [c30]Seong-Bae Park, Byoung-Tak Zhang: Automatic Webpage Classification Enhanced by Unlabeled Data. IDEAL 2003: 821-825
- [c29]Seong-Bae Park, Byoung-Tak Zhang: Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information. PAKDD 2003: 88-99
- [c28]Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang: An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition. PAKDD 2003: 111-116
- 2002
- [j10]Byoung-Tak Zhang: A Bayesian evolutionary approach to the design and learning of heterogeneous neural trees. Integrated Computer-Aided Engineering 9(1): 73-86 (2002)
- [c27]Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang: A Comparative Evaluation of Data-driven Models in Translation Selection of Machine Translation. COLING 2002
- [c26]Ji Youn Lee, Soo-Yong Shin, Sirk June Augh, Tai Hyun Park, Byoung-Tak Zhang: Temperature Gradient-Based DNA Computing for Graph Problems with Weighted Edges. DNA 2002: 73-84
- [c25]Hee-Woong Lim, Ji-Eun Yun, Hae-Man Jang, Young-Gyu Chai, Suk-In Yoo, Byoung-Tak Zhang: Version Space Learning with DNA Molecules. DNA 2002: 143-155
- [c24]In-Hee Lee, Ji-Yoon Park, Hae-Man Jang, Young-Gyu Chai, Byoung-Tak Zhang: DNA Implementation of Theorem Proving with Resolution Refutation in Propositional Logic. DNA 2002: 156-167
- [c23]Dongmin Kim, Soo-Yong Shin, In-Hee Lee, Byoung-Tak Zhang: NACST/Seq: A Sequence Design System with Multiobjective Optimization. DNA 2002: 242-251
- [c22]Jangmin O, Jae Won Lee, Byoung-Tak Zhang: Stock Trading System Using Reinforcement Learning with Cooperative Agents. ICML 2002: 451-458
- [c21]Seong-Bae Park, Byoung-Tak Zhang: A Boosted Maximum Entropy Model for Learning Text Chunking. ICML 2002: 482-489
- [c20]Kyu Baek Hwang, Jae Won Lee, Seung-Woo Chung, Byoung-Tak Zhang: Construction of Large-Scale Bayesian Networks by Local to Global Search. PRICAI 2002: 375-384
- [c19]Jeong Ho Chang, Jae Won Lee, Yuseop Kim, Byoung-Tak Zhang: Topic Extraction from Text Documents Using Multiple-Cause Networks. PRICAI 2002: 434-443
- [c18]Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang: Target Word Selection Using WordNet and Data-Driven Models in Machine Translation. PRICAI 2002: 607
- 2001
- [j9]Byoung-Tak Zhang, Young-Woo Seo: Personalized Web-Document Filtering Using Reinforcement Learning. Applied Artificial Intelligence 15(6): 665-685 (2001)
- [j8]Byoung-Tak Zhang, Young-Woo Seo: Personalized Web-Document Filtering Using Reinforcement Learning. Applied Artificial Intelligence 15(7): 665-685 (2001)
- [j7]Byoung-Tak Zhang, Dong-Yeon Cho: System identification using evolutionary Markov chain Monte Carlo. Journal of Systems Architecture 47(7): 587-599 (2001)
- [j6]Yuseop Kim, Byoung-Tak Zhang, Yung Taek Kim: Collocation Dictionary Optimization Using WordNet and k-Nearest Neighbor Learning. Machine Translation 16(2): 89-108 (2001)
- [j5]Sung Dong Kim, Byoung-Tak Zhang, Yung Taek Kim: Learning-based Intrasentence Segmentation for Efficient Translation of Long Sentences. Machine Translation 16(3): 151-174 (2001)
- 2000
- [j4]Byoung-Tak Zhang: Bayesian Methods for Efficient Genetic Programming. Genetic Programming and Evolvable Machines 1(3): 217-242 (2000)
- [c17]Seong-Bae Park, Byoung-Tak Zhang, Yung Taek Kim: Word Sense Disambiguation by Learning from Unlabeled Data. ACL 2000
- [c16]Young-Woo Seo, Byoung-Tak Zhang: Learning user's preferences by analyzing Web-browsing behaviors. Agents 2000: 381-387
- [c15]Ho-Sik Seok, Kwang-Ju Lee, Byoung-Tak Zhang, Dong-Wook Lee, Kwee-Bo Sim: Genetic Programming of Process Decomposition Strategies for Evolvable Hardware. Evolvable Hardware 2000: 25-36
- [c14]Young-Woo Seo, Byoung-Tak Zhang: A reinforcement learning agent for personalized information filtering. IUI 2000: 248-251
- [c13]
- [c12]Byoung-Tak Zhang, Soo-Yong Shin: Bayesian Evolutionary Optimization Using Helmholtz Machines. PPSN 2000: 827-836
- [c11]Sun Kim, Byoung-Tak Zhang: Web-Document Retrieval by Genetic Learning of Importance Factors for HTML Tags. PRICAI Workshop on Text and Web Mining 2000: 13-23
- [c10]Yu-Hwan Kim, Shang-Yoon Hahn, Byoung-Tak Zhang: Text filtering by boosting naive bayes classifiers. SIGIR 2000: 168-175
1990 – 1999
- 1999
- [c9]Shu-Heng Chen, Hung-Shuo Wang, Byoung-Tak Zhang: Forecasting High-Frequency Financial Time Series with Evolutionary Neural Trees: The Case of Heng-Sheng Stock Index. IC-AI 1999: 437-443
- [c8]Dong-Ho Shin, Yu-Hwan Kim, Sun Kim, Jae-Hong Eom, Hyung-Joo Shin, Byoung-Tak Zhang: SCAI TREC-8 Experiments. TREC 1999
- 1998
- [c7]Suk-Joon Kim, Byoung-Tak Zhang: Active Data Partitioning for Building Mixture Models. ICONIP 1998: 854-857
- [c6]
- [c5]Dong-Ho Shin, Byoung-Tak Zhang: A Two-Stage Retrieval Model for the TREC-7 Ad Hoc Task. TREC 1998: 439-445
- 1997
- [j3]Byoung-Tak Zhang, Peter Ohm, Heinz Mühlenbein: Evolutionary Induction of Sparse Neural Trees. Evolutionary Computation 5(2): 213-236 (1997)
- 1995
- [j2]Byoung-Tak Zhang, Heinz Mühlenbein: Balancing Accuracy and Parsimony in Genetic Programming. Evolutionary Computation 3(1): 17-38 (1995)
- 1994
- [j1]Byoung-Tak Zhang: Accelerated Learning by Active Example Selection. Int. J. Neural Syst. 5(1): 67-75 (1994)
- [c4]Byoung-Tak Zhang, Heinz Mühlenbein: Synthesis of Sigma-Pi Neural Networks by the Breeder Genetic Programming. International Conference on Evolutionary Computation 1994: 318-323
- [c3]
- 1993
- [c2]Byoung-Tak Zhang, Heinz Mühlenbein: Genetic Programming of Minimal Neural Nets Using Occam's Razor. ICGA 1993: 342-351
- 1992
- [b1]Byoung-Tak Zhang: Lernen durch Genetisch-Neuronale Evolution: Aktive Anpassung an unbekannte Umgebungen mit selbstentwickelten parallelen Netzwerken. DISKI 16, Infix Verlag, St. Augustin, Germany 1992, ISBN 3-929037-16-5
- 1990
- [c1]Byoung-Tak Zhang, Yung Taek Kim: Morphological Analysis and Synthesis by Automated Discovery and Acquisition of Linguistic Rules. COLING 1990: 431-436
Coauthor Index
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last updated on 2013-10-02 11:07 CEST by the dblp team