- Version Space Learning with DNA Molecules HeeWoong Lim 1 , JiEun Yun 1 , HaeMan Jang 2 , YoungGyu Chai 2 ,
- 120 : 37 2 (2010.2) (2009-F-051-01,
- [1,2]. , non-coding RNA (ncRNA) ,
- A Comparative Evaluation of Datadriven Models in Translation Selection of Machine Translation #
- Molecular Self-assembly-Based Language Generation Using the Hypernetwork Model: Design of DNA Computing Experiments
- [2,5,6,9]. WSD , . , Hwee Lee
- Function Optimization with Latent Variable Models SooYong Shin
- miRNA 347 (NRL)
- 2006 Vol.33,No.2(A) . (microarray)
- Molecular Basis for the Recognition of Primary microRNAs by
- A Unified Bayesian Framework for Evolutionary Learning and Optimization
- Comparison of Sequential Multi-Modality Data Effects on Memory Recall , Umer Fareed1
- microRNA-mRNA sjkim@bi.snu.ac.kr, jwha@bi.snu.ac.kr, btzhang@bi.snu.ac.kr
- PromSearch 22 , bhkim, btzhang}@bi.snu.ac.kr
- Co-evolutionary Biclustering for microRNA Expression Profiles Analysis
- DNA Computing Complexity Analysis Using DNA/DNA Hybridization Kinetics
- 0-7803-9387-2/05/$20.00 2005 IEEE Abstract--MicroRNAs (miRNAs) are small endogenous RNAs
- (classifier) . , NIPS 2000 7.9% , WebKB
- Large Scale Unstructured Document Classification Using Unlabeled Data and
- Sparsity Eliminated Collaborative Filtering Using Cluster-based (new item problem) [5].
- Evolutionary Optimization An International Journal on the Internet
- Classification of the Risk Types of Human Papillomavirus by Decision Trees
- DNA Implementation of Theorem Proving with Resolution Refutation in Propositional Logic
- Machine Translation 16: 151174, 2001. 2002 Kluwer Academic Publishers. Printed in the Netherlands.
- Applied Intelligence 18, 243256, 2003 c 2003 Kluwer Academic Publishers. Manufactured in The Netherlands.
- Applied Arti cial Intelligence, 15:665 685, 2001 Copyright # 2001 Taylor & Francis
- Machine Translation 16: 89108, 2001. 2002 Kluwer Academic Publishers. Printed in the Netherlands.
- DOCUMENT INDEXING USING INDEPENDENT TOPIC EXTRACTION Yu-Hwan Kim and Byoung-Tak Zhang
- Using Stochastic Helmholtz Machine for Text Learning Jeong-Ho Chang and Byoung-Tak Zhang
- Genetic Programming with Active Data Byoung-Tak Zhang and Dong-Yeon Cho
- (KRF-2008-314-D00377), , IT(IITA-
- DNA DNA [1]. 1994
- 2010 33 1 e-mail: moheo@bi.snu.ac.kr, btzhang@bi.snu.ac.kr
- (pathway) . (microarray)
- DNA microarray (spot) .
- selee@ccfs.ac.kr btzhang@bi.snu.ac.kr A Bayesian Evolutionary Algorithm with Multiple Markov Chains
- 2010 33 1 e-mail : {wcyoon, btzhang}@bi.snu.ac.kr
- Published in Evolutionary Computation, Vol. 5, No. 2, pp. 213236, 1997. Evolutionary Induction of Sparse Neural Trees
- ProMiR II: a web server for the probabilistic prediction of clustered, nonclustered, conserved
- C. Zhang, H.W. Guesgen, W.K. Yeap (Eds.): PRICAI 2004, LNAI 3157, pp. 732741, 2004. Springer-Verlag Berlin Heidelberg 2004
- Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling
- Mining the Risk Types of Human Papillomavirus (HPV) by AdaCost
- Automatic Webpage Classification Enhanced by Unlabeled Data
- An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic
- Temperature Gradient-Based DNA Computing for Graph Problems with Weighted Edges
- Seong-Bae Park*, Sohyun Hwang and Byoung-Tak Biointelligence Lab., School of Computer Science and
- A Lab-on-a-Chip Module for Bead Separation in DNA-Based Concept Learning
- ANALYSIS OF GENE EXPRESSION PROFILES AND DRUG ACTIVITY PATTERNS BY
- Integrated Computer-Aided Engineering 9 (2002) 7386 73 A Bayesian evolutionary approach to the
- Target Word Selection Using WordNet and Data-Driven Models in Machine Translation
- . Introduction This paper present a method for evolving genetic programs
- 2007. 3. 25 396 . (Machine Learning)"
- (Human Papillomavirus: HPV) HPV 8kb DNA
- {hjshin, btzhang}@scai.snu.ac.kr, ytkim@comp.snu.ac.kr Feature Selection with Non-linear PCA in Text Categorization
- A Boosted Maximum Entropy Model for Learning Text Chunking Seong-Bae Park sbpark@bi.snu.ac.kr
- DNA . DNA
- jkrhee@bi.snu.ac.kr, btzhang@bi.snu.ac.kr microRNA functional study by network propagation algorithm of
- (bioinformatics) (systems biology)
- Reducing Parsing Complexity by Intra{Sentence Segmentation based on Maximum Entropy Model
- Jeong-Ho Chang, Sung Wook Chi, and Byoung-Biointelligence Laboratory, School of Computer Science and
- Text Filtering by Boosting Linear Perceptrons Jangmin O Byoung-Tak Zhang
- Biology Biointelligence Bioinformatics
- 2009 Vol.36, No.2(C) ( , , )H E V W
- A Query Classification Method for Question Answering on a Large-Scale Text Data Jae-Hong Eom Byoung-Tak Zhang
- Byoung-Tak Zhang 2.
- _ btzhang@bi.snu.ac.kr 1g (A, T, G, C) 1021
- The 3rd Annual Conference of the Korean Society for Bioinformatics (KSBI2004) Identification of Caenorhabditis elegans microRNA target
- Molecular Computational Methods for Pattern Completion , btzhang}@bi.snu.ac.kr
- (information overload) (bioinformatics)
- 928 : 15 12 (2009.12) (2007-S6-J-002),
- Effectiveness of Denaturation Temperature Gradient-Polymerase Chain Reaction for Biased DNAAlgorithms*
- DNA DNA microarray [1-2][4-10],
- Topic Extraction from Text Documents Using Multiple-Cause Networks
- (Reinforcement Learning) (World) (Reward)
- Learning User's Preferences by Analyzing Web-Browsing Young-Woo Seo
- 2020 115 . (1) ?
- Learning Robot Behaviors by Evolving Genetic Programs Kwang-Ju Lee
- {wcyoon, btzhang}@bi.snu.ac.kr Sentence generation on sequential multi-modal data
- 302 : 27 3 (2000.3) 1.1
- (information overload) (relevance)
- 2011. 2 17 SNU Videome Project
- (Monkey & Banana Problem, MBP)
- 693 jmoh@bi.snu.ac.kr
- jwha@bi.snu.ac.kr, btzhaing@bi.snu.ac.kr Evolutionary Hypernetwork Models for Higher Order
- 2008 31 2 e-mail: jakramate@bi.snu.ac.kr, skim@bi.snu.ac.kr, btzhang@bi.snu.ac.kr
- microRNA jkrhee@bi.snu.ac.kr, sjkim@bi.snu.ac.kr, btzhang@bi.snu.ac.kr
- Adleman[1] 1994 DNA Hamiltonian Path Problem , DNA
- Customer Data Mining and Visualization by Generative Topographic Mapping Methods
- Genetic Algorithms Genetic Programming
- Text Filteringby Boosting Naive Bayes Classifiers Yu-Hwan Kim Shang-YoonHahn Byoung-Tak Zhang
- : , , 41 1. : (NBIC)
- DNA Microarray Probe , syshin, ihlee, btzhang}@bi.snu.ac.kr
- Learning Text Chunking Using Maximum Entropy Models Seong-Bae Park and Byoung-Tak Zhang
- Genetic Programming with Incremental Data Inheritance ByoungTak Zhang
- Combining Feature Variables for Improving the Accuracy of Nave Bayes Classifiers Min-Oh HeoO
- 208 : 36 3 (2009.3) leese@bu.ac.kr
- Genetic Programming-Based Alife Techniques for Evolving Collective Robotic Intelligence
- . DNA [2, 3, 4].
- bwku@bi.snu.ac.kr, btzhang@bi.snu.ac.kr A Computational Study on the Effect of Multisynaptic Connections
- BK21-IT, (MEC) (NRL) ,
- Genetic Programming and Evolvable Machines, 1, 217 242, 2000 2000 Kluwer Academic Publishers. Manufactured in The Netherlands.
- 2009 Vol.36, No.1(C) 2009 Vol.36, No.1(C)
- Resolving Prepositional Phrase Attachment Using a Maximum Entropy Boosting Model
- A Reinforcement Learning Agent for Personalized Information Filtering
- , btzhang}@bi.snu.ac.kr Boosted DNA Computing for Evolutionary Graphical Structure Learning
- ncRNA , , [1]. small RNA
- Extracting Topic Words and Clustering Documents by Probabilistic Graphical Models
- AP G G G G GG Gp{G G G G G
- RCA-Based Detection Methods for Resolution In-Hee Lee1
- sjkim@bi.snu.ac.kr, jwha@bi.snu.ac.kr, btzhang@bi.snu.ac.kr Analysis of microRNA-mRNA Regulatory Modules
- , co-regulation, , k-means ,
- DNA DNA . DNA
- Co-Trained Support Vector Machines - {sbpark,btzhang}@scai.snu.ac.kr
- Identification of novel anti-angiogenic factors by in silico functional gene screening method
- {sbpark,btzhang}@scai.snu.ac.kr Text Categorization Using Both Lexical Information and Syntactic Information
- 1010 : 16 10 (2010.10) (KI002138,
- Increasing Mutual Information by a Learning Rule based on Intracellular Ca2+
- jhchang@nova.snu.ac.kr {btzhang,ytkim}@cse.snu.ac.kr Helmholtz machine
- G.R. Raidl et al. (Eds.): EvoWorkshops 2004, LNCS 3005, pp. 7383, 2004. Springer-Verlag Berlin Heidelberg 2004
- Reversible Jump MCMC {syha, btzhang}@scai.snu.ac.kr
- BioMed Central Page 1 of 12
- A Method for Computing Conditional Probabilities in Probabilistic Library Model
- sbpark@nova.snu.ac.kr {btzhang,ytkim}@cse.snu.ac.kr Expanded Korean Chunking by k-NN
- -DNA 1217 BK21-IT,
- Applied Intelligence 19, 2738, 2003 c 2003 Kluwer Academic Publishers. Manufactured in The Netherlands.
- Experiments for Improving the Accuracy of Visual Queries using Hypernetwork Models
- )|()(),( nmnmn dwPdPwdP = nknknm dzPdwPdwP
- System identication using evolutionary Markov chain Monte Carlo
- APPLYING MACHINE LEARNING TECHNIQUES TO ANALYSIS OF GENE
- Resolving Part-of-Speech Tagging Ambiguities by a Maximum Entropy Boosting Model
- Human microRNA prediction through a probabilistic co-learning model of sequence and structure
