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ICMLA 2004: Louisville, Kentucky, USA
- Mehmed M. Kantardzic, Mariofanna G. Milanova, Olfa Nasraoui:
Proceedings of the 2004 International Conference on Machine Learning and Applications - ICMLA 2004, 16-18 December 2004, Louisville, KY, USA. IEEE Computer Society 2004, ISBN 0-7803-8823-2
Invited Talks
- Asim Smailagic:
Unsupervised machine learning and cognitive systems in learning user state for context-aware computing. 1-2 - Bhavani 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 J. 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 Ramírez, 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 Rd. 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 León:
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 - Patrícia R. Oliveira, Roseli A. F. Romero:
Enhanced ICA mixture model for image segmentation. 288-295 - Jufen Zhang, Richard M. Everson:
Bayesian estimation and classification with incomplete data using mixture models. 296-303 - Michael R. James, Satinder 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
Data mining application for predictive learning from visiting nurse association data. 366-373 - Frank-Michael Schleif
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
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