MLMTA'07: June 26, 2007 Schedule

To select a different day CLICK HERE

6:45am - 5:00pm:  Registration (Second Floor, Conference Lobby: 1-5)


08:00a - 12:20p:  During this period, MLMTA'07 attendees are encouraged to participate
                  in sessions belonging to ICAI'07, GEM'07, IPCV'07, or DMIN'07.
                  These sessions discuss topics that overlap the scope of MLMTA'07.

12:20 - 01:20pm:  LUNCH (On Your Own)


SESSION 2-MLMTA:  UNSUPERVISED LEARNING - CLUSTERING
                  Chair:  Prof. Jiann-Shiou Yang
                  University of Minnesota, Duluth, Minnesota, USA
                  June 26, 2007 (Tuesday); 01:20pm - 02:00pm
                  (LOCATION: Silver Room)

01:20 - 01:40pm:  Consensus Based Ensembles of Soft Clusterings
                  Kunal Punera and Joydeep Ghosh
                  University of Texas at Austin, Austin, Texas, USA

01:40 - 02:00pm:  A Graph Mining Technique for Automatic Classification of
                  Web Genre Data
                  Matthias Dehmer, Frank Emmert-Streib, and Andreas Zulauf
                  Technical University of Vienna, Austria


SESSION 3-MLMTA:  PREDICTIVE METHODS AND TIME SERIES ANALYSIS
                  Chairs: Dr. Thomas M. Gatton* and Dr. Russell Y. Webb
                  *National University, San Diego, California, USA
                  June 26, 2007 (Tuesday); 02:00pm - 02:40pm
                  (LOCATION: Silver Room)

02:00 - 02:20pm:  A Cascade Architecture for On-line Predictive Echo
                  State Networks
                  Russell Y. Webb
                  University of Canterbury, Christchurch, New Zealand

02:20 - 02:40pm:  Anomaly Detection in High-Dimensional Financial Databases
                  Ming Yuan, Aijun Zhang, Fernando Cela-Diaz, and Agus Sudjianto
                  Bank of America, Ann Arbor Charlotte, North Carolina, USA;
                  University of Michigan, Michigan, USA;
                  Georgia Institute of Technology, Atlanta, Georgia, USA


02:40 - 03:20pm:  DISCUSSION SESSION B-MLMTA (Refreshments will be available)
                  June 26 (Tuesday)
                  (LOCATION: Hallways - Ballrooms 1-5)

                  O.  Hopfield Networks To Solve Sudoku Puzzles
                      Sridhar Narayan and Gene Tagliarini
                      University of North Carolina, Wilmington, North Carolina, USA
                  O.  Forced Information to Accelerate Information-Theoretic
                      Competitive Learning
                      Ryotaro Kamimura
                      Tokai University, Japan
                  O.  A Novel Hybrid Neural Network for Data Clustering
                      Donghai Guan, Andrey V. Gavrilov, Weiwei Yuan, Young-koo Lee,
                      and Sungyoung Lee
                      Kyung Hee University, Korea
                  O.  Comparison of Greedy Strategies for Learning Markov Networks
                      of Treewidth k
                      Guoli Ding, R. F. Lax, Jianhua Chen, Peter P. Chen, and
                      Brian D. Marx
                      LSU, USA
                  O.  The Calculation Method of Learning Coefficients by Weighted
                      Resolution of Singularities
                      Takeshi Matsuda and Sumio Watanabe
                      Tokyo Institute of Technology, Japan
                  O.  Learning Path Metrics from Observed Choices
                      Andras Farago
                      The University of Texas at Dallas, Richardson, Texas, USA
                  O.  Inverted Index Based Operation on String Vector for K Means
                      Algorithm in Text Clustering
                      Taeho Jo, Malrey Lee, and Thomas M. Gatton
                      Advanced Graduate Education Center of Jeonbuk for Electronics and
                      Information Technology, Korea;
                      The Research Center of Industrial Technology, ChonBuk National
                      University, Korea; National University, La Jolla, California, USA
                  O.  Optimal Classifier Selection for Adaptive Boosting Algorithm
                      ABM Shawkat Ali and Tony Debele
                      Central Queensland University, Australia


SESSION 4-MLMTA:  SUPERVISED LEARNING + CLASSIFICATION + REINFORCEMENT LEARNING
                  Chair: Dr. Le Tien Dung
                  June 26, 2007 (Tuesday); 03:20pm - 04:20pm
                  (LOCATION: Silver Room)

03:20 - 03:40pm:  Detection of Heart Murmurs Using the Support Vector Machine
                  Classification Method
                  Samuel W. Rud, Nicholas St. Jacque, Aaron D. Vant, and
                  Jiann-Shiou Yang
                  Beckman Coulter, Inc., USA;  University of Minnesota, USA

03:40 - 04:00pm:  Reinforcement Learning for POMDP Using State Classification
                  Le Tien Dung, Takashi Komeda, and Motoki Takagi
                  Shibaura Institute of Technology, Japan

04:00 - 04:20pm:  A Lyapunov-Stability-Based System Hardware Architecture
                  for a Real-Time Multiple-Look-Ahead-Levels Reinforcement Learning
                  D. B. Megherbi and D. H. S. Al-Dayaa
                  University of Massachusetts Lowell, Lowell, USA


SESSION 5-MLMTA:  APPLICATION OF MACHINE LEARNING TECHNIQUES IN COMPUTATIONAL BIOLOGY
                  Chair: Dr. Matthias Dehmer and Dr. Frank Emmert-Streib
                  June 26, 2007 (Tuesday); 04:20pm - 06:00pm
                  (LOCATION: Silver Room)

04:20 - 04:40pm:  Discovery of Transcription Factors Using Protein Subcellular
                  Localization Prediction and Gene Expression Profile Analysis
                  Amitava Karmaker, Mark Dodeder, Stephen E. Harris, and
                  Stephen Kwek
                  University of Texas at San Antonio, San Antonio, Texas, USA;
                  University of Texas Health Science Center at San Antonio, Texas, USA;

04:40 - 05:00pm:  Clustering Association Rules to Discover Regulatory Genes
                  from Gene Expression Data
                  Chun-Liang Lin, Don-Lin Yang, Hsin-Wei Lin, and Wei-Cheng Liao
                  Feng Chia University, Taiwan

05:00 - 05:20pm:  Prediction of Protein Secondary Structures with a Novel
                  Kernel Density Estimator
                  Yen-Jen Oyang, Darby Tien-Hao Chang, Yu-Yen Ou, Hao-Geng Hung,
                  and Chien-Yu Chen
                  National Taiwan University, Taipei, Taiwan, R.O.C.;
                  National Cheng Kung University, Tainan, Taiwan, R.O.C.;
                  Yuan-Ze University, Chung-Li, Taiwan, R.O.C.

05:20 - 05:40pm:  Bacterial Growth Classification with Support Vector Machines:
                  A Comparative Study
                  Emad A. El-Sebakhy and Kanaan A. Faisal
                  King Fahd University of Petroleum & Minerals, Saudi Arabia

05:40 - 06:00pm:  Species Independent Protein Localization Prediction for
                  Multicompartmentalized Proteins
                  Mark Doderer, Kihoon Yoon, and Stephen Kwek
                  University of Texas at San Antonio, San Antonio, Texas, USA


06:00 - 09:00pm:  FIVE TUTORIALS  (planned)

                  Real-Time Image and Video Processing: From Research to Reality
                  Prof. Nasser Kehtarnavaz
                  University of Texas at Dallas, Texas, USA
                  Location: Ballroom 1

                  Moving On, Moving Online That Is: An Introduction to Teaching Online
                  Dr. Michael L. Nelson
                  School of Technology Graduate Program Director, International College,
                  Ft. Myers, Florida, USA
                  Location: Ballroom 2

                  Computational Challenges in RNAi Gene Silencing
                  Amanda Birmingham
                  Dharmacon, Thermo Fisher Scientific, Bioinformatics Manager, USA
                  Location: Ballroom 3

                  Introduction to Game Programming
                  Lakshmi Prayaga
                  University of West Florida, Pensacola, Florida, USA
                  Location: Ballroom 4

                  The Integrated Microbial Genomes system (IMG)
                  Dr. Konstantinos Mavrommatis
                  Genome Biology Program, DOE Joint Genome Institute, California, USA
                  Location: Ballroom 5

To select a different day CLICK HERE