ICMLA 2004: Louisville, Kentucky, USA

Invited Talks

• Asim Smailagic:
  Unsupervised machine learning and cognitive systems in learning user state for context-aware computing. 1-2
  
• Bhavani M. Thuraisingham:
  Data mining for security applications. 3-4
  

Regular Session Papers

Session 1: Text and Web Mining

• Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin Loomes, Neil Davey:
  Identifying word boundaries in handwrittem text. 5-9
  
• Christopher N. Hammack, Stephen D. Scott:
  LASSO: a learning architecture for semantic web ontologies. 10-17
  
• Jia Li, Huiqing Li, Xiumei Jia:
  A naiive bayes learning based website reconfiguration system. 18-25
  
• Wu Chou, Li Li:
  A minimum classification error (MCE) framework for generalized linear classifier in machine learning for text categorization/retrieval. 26-33
  
• Tansel Özyer, Reda Alhajj, Ken Barker:
  Multi-dimensional sequential web mining by utilizing fuzzy interferencing. 34-40
  
• Yijun Sun, Jian Li, William W. Hager:
  Two new regularized AdaBoost algorithms. 41-48
  
• James L. Carroll, Kevin D. Seppi:
  A Bayesian technique for task localization in multiple goal Markov decision processes. 49-56
  
• Jeremy A. Glasser, Leen-Kiat Soh:
  Matching an opponent's performance in a real-time, dynamic environment. 57-64
  
• Michael A. Goodrich, Morgan Quigley:
  Satisficing Q-learning: efficient learning in problems with dichotomous attributes. 65-72
  
• Luis G. Moscovich, Jianhua Chen:
  Learning hidden Markov models from the state distribution oracle. 73-80
  
• Miki Fukunari, Kristin P. Bennett, Charles J. Malmborg:
  Decision-tree learning in dwell point policies in autonomous vehicle storage and retrieval systems (AVSRS). 81-84
  
• Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar:
  Mobile data mining for radio resource management in wireless mobile networks. 85-92
  
• Gang Yu, Sagar V. Kamarthi, Stefan Pittner:
  A new cluster-based feature extraction method for surface defect detection. 93-98
  
• Charles L. Karr, Abhishek Banerjee, Punyasloka Mishra:
  Solving an inverse partial differential equation for a two dimensional heat conduction problem with oscillating boundary conditions using an artificial immune system. 99-106
  
• Hai Qiu, Jay Lee:
  Feature fusion and degradation using self-organizing map. 107-114
  
• Mikhail Petrovskiy:
  A game theory approach to pairwise classification with support vector machines. 115-122
  
• Adam Cannon, Don R. Hush:
  Multiple instance learning using simple classifiers. 123-128
  
• Nicola Ancona, Rosalia Maglietta, Ettore Stella:
  Sparse representations and performances in support vector machines. 129-136
  
• Bernd-Jürgen Falkowski:
  Scoring systems, classifiers, default probabilities, and kernel methods. 137-142
  
• Alina Lazar:
  Income prediction via support vector machine. 143-149
  
• Todd Blank, Leen-Kiat Soh, Stephen Scott:
  Creating an SVM to play strong poker. 150-155
  
• Gregory Von Pless, Tayeb Al Karim, Leon Reznik:
  Time-based multi-layer perceptron for novelty detection in sensor networks. 156-163
  
• Durga Toshniwal, Ramesh Chandra Joshi:
  Similarity search in time series databases using moments. 164-171
  
• Rafael Ramirez, Amaury Hazan:
  Induction of expressive music performance models. 172-177
  
• Daren Ler, Irena Koprinska, Sanjay Chawla:
  A new landmarker generation algorithm based on correlativity. 178-185
  
• Wayne J. Staats, Marwa Shideed, Ssu-yu Lu:
  An adaptive approach for assisting in the recovery from spatial disorientation. 186-191
  
• Stephen D. Scott:
  Agnostic learning of general geometric patterns and multi-instance learning in R^d. 192-199
  
• Peter Géczy, Shiro Usui:
  Effective dynamic sample selection algorithm. 200-206
  
• Joost Broekens, Doug DeGroot:
  Emergent representations and reasoning in adaptive agents. 207-214
  
• Jonathon R. Deming, Stephen B. H. Bruder:
  Obstacle avoidance using image flow in an RT-Linux environment in a PC-104 platform. 215-219
  
• Kari Torkkola, Noel Massey, Chip Wood:
  Detecting driver inattention in the absence of driver monitoring sensors. 220-226
  
• John H. Lilly:
  Evolution of a P/N fuzzy obstacle avoidance controller for an autonomous robot. 227-234
  
• Jonathon R. Deming, Marco Antonio Assfalk de Oliveira:
  Autonomous navigation using neural networks. 235-241
  
• Lukasz A. Kurgan:
  Reducing complexity of rule based models via meta mining. 242-249
  
• Jonatan Gómez, Olfa Nasraoui, Elizabeth Leon:
  RAIN: data clustering using randomized interactions between data points. 250-255
  
• Anup Kumar, Mehmed M. Kantardzic, Padmanabhan Ramaswamy, Pedram Sadeghian:
  An extensible service oriented distributed data mining framework. 256-263
  
• Manimozhiyan Arumugam, Stephen D. Scott:
  EMPRR: a high-dimensional EM-based peicewise regression algorithm. 264-271
  
• Iryna Skrypnyk:
  Exploring classification heterogeneity with IPA. 272-279
  
• Danyu Liu, Alan P. Sprague, Jeffrey G. Gray:
  PolyCluster: an interactive visualization approach to construct classification rules. 280-287
  
• Patricia R. Oliveira, Roseli A. F. Romero:
  Enhanced ICA mixture model for image segmentation. 288-295
  
• Jufen Zhang, Richard Everson:
  Bayesian estimation and classification with incomplete data using mixture models. 296-303
  
• Michael R. James, Satinder P. Singh, Michael L. Littman:
  Planning with predictive state representations. 304-311
  
• Lawrence J. Mazlack:
  Using association rules without understanding their underlying causality reduces their decision value. 312-319
  
• Behrouz Minaei-Bidgoli, Pang-Ning Tan, William F. Punch:
  Mining interesting contrast rules for a web-based educational system. 320-327
  
• Huaiguo Fu, Engelbert Mephu Nguifo:
  Mining frequent closed itemsets for large data. 328-335
  
• Md. Rafiqul Islam, Safwan Mahmud Khan, Mohammad Azud us zaman, Syed Shahed Kabir Robin:
  A comparative study among three algorithms for frequent pattern generation. 336-343
  
• Alan P. Sprague:
  On the computational complexity of two frequent set generation algorithms. 344-350
  
• Mia K. Markey, Amit C. Patel:
  Impact of missing data in training artificial neural networks for computer-aided diagnosis. 351-354
  
• Adam E. Gaweda, Alfred A. Jacobs, George R. Aronoff, Michael E. Brier:
  Intelligent control for drug delivery in management of renal anemia. 355-359
  
• Yanfeng Jou, Jacek M. Zurada, Waldemar Karwowski:
  Prediction of dynamic forces on lumbar joint using a recurrent neural network model. 360-365
  
• Pallavi Vyas, Adel Elmaghraby, Robert Topp:
  Data mining application for predictive learning from visiting nurse association data. 366-373
  
• Frank-Michael Schleif, U. Clauss, Thomas Villmann, Barbara Hammer:
  Supervised relevance neural gas and unified maximum separability analysis for classification of mass spectrometric data. 374-379
  
• Kreshna Gopal, Tod D. Romo, James C. Sacchettini, Thomas R. Ioerger:
  Efficient retrieval of electron density patterns for modeling proteins by X-ray crystallography. 380-387
  
• Bram Vanschoenwinkel, Bernard Manderick:
  Substitution matrix based kernel functions for protein secondary structure prediction. 388-396
  
• Safwan Mahmud Khan, Md. Rafiqul Islam, Morshed U. Chowdhury:
  Medical image classfication using an efficient data mining technique. 397-402
  
• Mircea Gh. Negoita, David Pritchard:
  A "virtual student" leads to the possibility of optimiser agents in an ITS. 403-409
  
• Joseph Bernadt, Leen-Kiat Soh:
  Authoritative citation KNN learning in multiple-instance problems. 410-417
  
• Oystein Hernes, Jianna Zhang:
  A tutorial search engine based on Bayesian learning. 418-422
  
• Todd Blank, Leen-Kiat Soh, Lee Dee Miller, Suzette Person:
  Case-based learning mechanisms to deliver learning materials. 423-428
  
• Choh Man Teng:
  Coping with partially corrupted data. 429-435
  
• Ying Liu, Alan P. Sprague:
  Outlier detection and evaluation by network flow. 436-442
  
• EunSang Bak:
  Data augmentation for linearly separable feature space. 443-448
  
• Christopher K. Monson, David Wingate, Kevin D. Seppi, Todd S. Peterson:
  Variable resolution discretization in the joint space. 449-455
  
• Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie:
  A new discrete binary particle swarm optimization based on learning automata. 456-462
  
• Key Lou Kwon, Ali T. Alouani:
  Implementation of PGAs in conjunction with fuzzy algorithm. 463-468
  
• Abdul Majid, Asifullah Khan, Anwar M. Mirza:
  Improving performance of nearest neighborhood classifier using genetic programming. 469-476
  
• Binto George, Susan S. Mathai:
  Improved quality of interference in multilevel secure knowledge-based systems. 477-484
  

Last update Fri May 25 08:19:58 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page