Table of Contents

• Unsupervised machine learning and cognitive systems in learning user state for context-aware computingAsim Smailagic. 1-2 [doi]
• Data mining for security applicationsBhavani M. Thuraisingham. 3-4 [doi]
• Identifying word boundaries in handwrittem textYi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin Loomes, Neil Davey. 5-9 [doi]
• LASSO: a learning architecture for semantic web ontologiesChristopher N. Hammack, Stephen D. Scott. 10-17 [doi]
• A naiive bayes learning based website reconfiguration systemJia Li, Huiqing Li, Xiumei Jia. 18-25 [doi]
• A minimum classification error (MCE) framework for generalized linear classifier in machine learning for text categorization/retrievalWu Chou, Li Li. 26-33 [doi]
• Multi-dimensional sequential web mining by utilizing fuzzy interferencingTansel Özyer, Reda Alhajj, Ken Barker. 34-40 [doi]
• Two new regularized AdaBoost algorithmsYijun Sun, Jian Li, William W. Hager. 41-48 [doi]
• A Bayesian technique for task localization in multiple goal Markov decision processesJames L. Carroll, Kevin D. Seppi. 49-56 [doi]
• Matching an opponent s performance in a real-time, dynamic environmentJeremy A. Glasser, Leen-Kiat Soh. 57-64 [doi]
• Satisficing Q-learning: efficient learning in problems with dichotomous attributesMichael A. Goodrich, Morgan Quigley. 65-72 [doi]
• Learning hidden Markov models from the state distribution oracleLuis G. Moscovich, Jianhua Chen. 73-80 [doi]
• Decision-tree learning in dwell point policies in autonomous vehicle storage and retrieval systems (AVSRS)Miki Fukunari, Kristin P. Bennett, Charles J. Malmborg. 81-84 [doi]
• Mobile data mining for radio resource management in wireless mobile networksSherif Rashad, Mehmed M. Kantardzic, Anup Kumar. 85-92 [doi]
• A new cluster-based feature extraction method for surface defect detectionGang Yu, Sagar V. Kamarthi, Stefan Pittner. 93-98 [doi]
• Solving an inverse partial differential equation for a two dimensional heat conduction problem with oscillating boundary conditions using an artificial immune systemCharles L. Karr, Abhishek Banerjee, Punyasloka Mishra. 99-106 [doi]
• Feature fusion and degradation using self-organizing mapHai Qiu, Jay Lee. 107-114 [doi]
• A game theory approach to pairwise classification with support vector machinesMikhail Petrovskiy. 115-122 [doi]
• Multiple instance learning using simple classifiersAdam Cannon, Don R. Hush. 123-128 [doi]
• Sparse representations and performances in support vector machinesNicola Ancona, Rosalia Maglietta, Ettore Stella. 129-136 [doi]
• Scoring systems, classifiers, default probabilities, and kernel methodsBernd-Jürgen Falkowski. 137-142 [doi]
• Income prediction via support vector machineAlina Lazar. 143-149 [doi]
• Creating an SVM to play strong pokerTodd Blank, Leen-Kiat Soh, Stephen Scott. 150-155 [doi]
• Time-based multi-layer perceptron for novelty detection in sensor networksGregory Von Pless, Tayeb Al Karim, Leon Reznik. 156-163 [doi]
• Similarity search in time series databases using momentsDurga Toshniwal, Ramesh Chandra Joshi. 164-171 [doi]
• Induction of expressive music performance modelsRafael Ramirez, Amaury Hazan. 172-177 [doi]
• A new landmarker generation algorithm based on correlativityDaren Ler, Irena Koprinska, Sanjay Chawla. 178-185 [doi]
• Agnostic learning of general geometric patterns and multi-instance learning in R:::d:::Stephen D. Scott. 192-199 [doi]
• Effective dynamic sample selection algorithmPeter Géczy, Shiro Usui. 200-206 [doi]
• Emergent representations and reasoning in adaptive agentsJoost Broekens, Doug DeGroot. 207-214 [doi]
• Obstacle avoidance using image flow in an RT-Linux environment in a PC-104 platformJonathon R. Deming, Stephen B. H. Bruder. 215-219 [doi]
• Detecting driver inattention in the absence of driver monitoring sensorsKari Torkkola, Noel Massey, Chip Wood. 220-226 [doi]
• Evolution of a P/N fuzzy obstacle avoidance controller for an autonomous robotJohn H. Lilly. 227-234 [doi]
• Autonomous navigation using neural networksJonathon R. Deming, Marco Antonio Assfalk de Oliveira. 235-241 [doi]
• Reducing complexity of rule based models via meta miningLukasz A. Kurgan. 242-249 [doi]
• RAIN: data clustering using randomized interactions between data pointsJonatan Gómez, Olfa Nasraoui, Elizabeth Leon. 250-255 [doi]
• An extensible service oriented distributed data mining frameworkAnup Kumar, Mehmed Kantardzic, Padmanabhan Ramaswamy, Pedram Sadeghian. 256-263 [doi]
• EMPRR: a high-dimensional EM-based peicewise regression algorithmManimozhiyan Arumugam, Stephen D. Scott. 264-271 [doi]
• Exploring classification heterogeneity with IPAIryna Skrypnyk. 272-279 [doi]
• PolyCluster: an interactive visualization approach to construct classification rulesDanyu Liu, Alan P. Sprague, Jeffrey G. Gray. 280-287 [doi]
• Enhanced ICA mixture model for image segmentationPatricia R. Oliveira, Roseli A. F. Romero. 288-295 [doi]
• Bayesian estimation and classification with incomplete data using mixture modelsJufen Zhang, Richard Everson. 296-303 [doi]
• Planning with predictive state representationsMichael R. James, Satinder Singh, Michael L. Littman. 304-311 [doi]
• Using association rules without understanding their underlying causality reduces their decision valueLawrence J. Mazlack. 312-319 [doi]
• Mining interesting contrast rules for a web-based educational systemBehrouz Minaei-Bidgoli, Pang-Ning Tan, William F. Punch. 320-327 [doi]
• Mining frequent closed itemsets for large dataHuaiguo Fu, Engelbert Mephu Nguifo. 328-335 [doi]
• A comparative study among three algorithms for frequent pattern generationMd. Rafiqul Islam, Safwan Mahmud Khan, Mohammad Azud us zaman, Syed Shahed Kabir Robin. 336-343 [doi]
• On the computational complexity of two frequent set generation algorithmsAlan P. Sprague. 344-350 [doi]
• Impact of missing data in training artificial neural networks for computer-aided diagnosisMia K. Markey, Amit C. Patel. 351-354 [doi]
• Intelligent control for drug delivery in management of renal anemiaAdam E. Gaweda, Alfred A. Jacobs, George R. Aronoff, Michael E. Brier. 355-359 [doi]
• Prediction of dynamic forces on lumbar joint using a recurrent neural network modelYanfeng Jou, Jacek M. Zurada, Waldemar Karwowski. 360-365 [doi]
• Data mining application for predictive learning from visiting nurse association dataPallavi Vyas, Adel Elmaghraby, Robert Topp. 366-373 [doi]
• Supervised relevance neural gas and unified maximum separability analysis for classification of mass spectrometric dataFrank-Michael Schleif, U. Clauss, Thomas Villmann, Barbara Hammer. 374-379 [doi]
• Efficient retrieval of electron density patterns for modeling proteins by X-ray crystallographyKreshna Gopal, Tod D. Romo, James C. Sacchettini, Thomas R. Ioerger. 380-387 [doi]
• Substitution matrix based kernel functions for protein secondary structure predictionBram Vanschoenwinkel, Bernard Manderick. 388-396 [doi]
• Medical image classfication using an efficient data mining techniqueSafwan Mahmud Khan, Md. Rafiqul Islam, Morshed U. Chowdhury. 397-402 [doi]
• A virtual student leads to the possibility of optimiser agents in an ITSMircea Gh. Negoita, David Pritchard. 403-409 [doi]
• Authoritative citation KNN learning in multiple-instance problemsJoseph Bernadt, Leen-Kiat Soh. 410-417 [doi]
• A tutorial search engine based on Bayesian learningOystein Hernes, Jianna Zhang. 418-422 [doi]
• Case-based learning mechanisms to deliver learning materialsTodd Blank, Leen-Kiat Soh, Lee Dee Miller, Suzette Person. 423-428 [doi]
• Coping with partially corrupted dataChoh Man Teng 0001. 429-435 [doi]
• Outlier detection and evaluation by network flowYing Liu, Alan P. Sprague. 436-442 [doi]
• Data augmentation for linearly separable feature spaceEunSang Bak. 443-448 [doi]
• Variable resolution discretization in the joint spaceChristopher K. Monson, David Wingate, Kevin D. Seppi, Todd S. Peterson. 449-455 [doi]
• A new discrete binary particle swarm optimization based on learning automataReza Rastegar, Mohammad Reza Meybodi, Kambiz Badie. 456-462 [doi]
• Implementation of PGAs in conjunction with fuzzy algorithmKey Lou Kwon, Ali. T. Alouani. 463-468 [doi]
• Improving performance of nearest neighborhood classifier using genetic programmingAbdul Majid, Asifullah Khan, Anwar M. Mirza. 469-476 [doi]
• Improved quality of interference in multilevel secure knowledge-based systemsBinto George, Susan S. Mathai. 477-484 [doi]