ICMLA 2009: Miami Beach, Florida, USA
M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Lukasz A. Kurgan, Yuan Qi (Eds.): International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009. IEEE Computer Society 2009 ISBN 978-0-7695-3926-3
Machine Learning in Image Processing
- Johannes Hartz: Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures. 5-11
- Yiming Wu, Xiuwen Liu, Washington Mio: Linear Representation Learning Using Sphere Factor Analysis. 12-17
- Sharif M. A. Bhuiyan, Jesmin F. Khan, Nii O. Attoh-Okine, Reza R. Adhami: Study of Bidimensional Empirical Mode Decomposition Method for Various Radial Basis Function Surface Interpolators. 18-24
- Jukka Perkiö, Tinne Tuytelaars, Wray L. Buntine: Exploring Scale-Induced Feature Hierarchies in Natural Images. 25-31
Machine Learning in Multimedia
- Omar Arif, Patricio A. Vela: Robust Target Localization and Segmentation Using Graph Cut, KPCA and Mean-Shift. 35-40
- Yangfeng Ji, Tong Lin, Hongbin Zha: Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition. 41-46
- Jonathan T. Purnell, Malik Magdon-Ismail: Learning American English Accents Using Ensemble Learning with GMMs. 47-52
- Balaji Lakshminarayanan, Raviv Raich, Xiaoli Fern: A Syllable-Level Probabilistic Framework for Bird Species Identification. 53-59
Feature Extraction, Selection, and Neural Networks
- Benjamin Labbé, Romain Hérault, Clément Chatelain: Learning Deep Neural Networks for High Dimensional Output Problems. 63-68
- Mani Malekesmaeili, Mehrdad Fatourechi, Rabab K. Ward: Video Copy Detection Using Temporally Informative Representative Images. 69-74
- Aleksey Fadeev, Oualid Missaoui, Hichem Frigui: Dominant Audio Descriptors for Audio Classification and Retrieval. 75-78
Evolutionary Algorithms and Genetic Programming
- Ryouei Takahashi: A Hybrid Method of Genetic Algorithms and Ant Colony Optimization to Solve the Traveling Salesman Problem. 81-88
- Pietari Pulkkinen: A Multiobjective Genetic Fuzzy System for Obtaining Compact and Accurate Fuzzy Classifiers with Transparent Fuzzy Partitions. 89-94
- Fatemeh Vafaee, Peter C. Nelson: A Genetic Algorithm that Incorporates an Adaptive Mutation Based on an Evolutionary Model. 101-107
Statistical Learning
- Lipi R. Acharya, Dongxiao Zhu: Estimating an Optimal Correlation Structure from Replicated Molecular Profiling Data Using Finite Mixture Models. 119-124
- Nacim Fateh Chikhi, Bernard Rothenburger, Nathalie Aussenac-Gilles: Community Structure Identification: A Probabilistic Approach. 125-130
- Peter McCullagh, Vladimir Vovk, Ilia Nouretdinov, Dmitry Devetyarov, Alexander Gammerman: Conditional Prediction Intervals for Linear Regression. 131-138
Supervised Learning
- Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapuli, Jude W. Shavlik: Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule. 141-146
- Jeroen H. M. Janssens, Ildikó Flesch, Eric O. Postma: Outlier Detection with One-Class Classifiers from ML and KDD. 147-153
- Ansaf Salleb-Aouissi, Bert C. Huang, David L. Waltz: Discovering Characterization Rules from Rankings. 154-161
- Manuel Loth, Philippe Preux, Samuel Delepoulle, Christophe Renaud: ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approximation. 162-169
- Aydin Ulas, Olcay Taner Yildiz: An Incremental Model Selection Algorithm Based on Cross-Validation for Finding the Architecture of a Hidden Markov Model on Hand Gesture Data Sets. 170-177
- Oualid Missaoui, Hichem Frigui, Paul D. Gader: Discriminative Multi-stream Discrete Hidden Markov Models. 178-183
- Luca Cazzanti, Maya R. Gupta: Regularizing the Local Similarity Discriminant Analysis Classifier. 184-189
- Lijun Zhang, Hichem Frigui, Paul D. Gader: Context-Dependent Fusion of Multiple Algorithms with Minimum Classification Error Learning. 190-195
- Sandeep K. Namilikonda, Nihar R. Mahapatra: An Instance-Based Learning Approach for Available-Memory Non-minimal Cost-Bounded Search. 202-207
- Ingo Glöckner: Finding Answer Passages with Rank Optimizing Decision Trees. 208-214
Feature Selection and Clustering
- Bing Yin, Greg Hamerly: Hierarchical Stability-Based Model Selection for Clustering Algorithms. 217-222
- Dario García-García, Emilio Parrado-Hernández, Fernando Díaz-de-María: Sequence Segmentation via Clustering of Subsequences. 229-234
- Taghi M. Khoshgoftaar, Kehan Gao: Feature Selection with Imbalanced Data for Software Defect Prediction. 235-240
- Wilker Altidor, Taghi M. Khoshgoftaar, Amri Napolitano: Wrapper-Based Feature Ranking for Software Engineering Metrics. 241-246
- Sherif Abdelazeem: A Novel Domain-Specific Feature Extraction Scheme for Arabic Handwritten Digits Recognition. 247-252
Text Mining
- Jian Zhang, Shobhit S. Shakya: Knowledge Transfer for Feature Generation in Document Classification. 255-260
- Cristina Giannone, Danilo Croce, Roberto Basili: Semantic Word Spaces for Robust Role Labeling. 261-266
Support Vector Machines
- Alexey Nefedov, Jiankuan Ye, Casimir A. Kulikowski, Ilya B. Muchnik, Kenton Morgan: Comparative Analysis of Support Vector Machines Based on Linear and Quadratic Optimization Criteria. 288-293
- Khaled Boukharouba, Laurent Bako, Stéphane Lecoeuche: Incremental and Decremental Multi-category Classification by Support Vector Machines. 294-300
Reinforcement Learning
- Tim C. Kietzmann, Martin Riedmiller: The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting. 311-316
- Stéphane Ross, Masoumeh T. Izadi, Mark Mercer, David L. Buckeridge: Sensitivity Analysis of POMDP Value Functions. 317-323
- Mark Kroon, Shimon Whiteson: Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs. 324-330
- Alejandro Agostini, Enric Celaya: Exploiting Domain Symmetries in Reinforcement Learning with Continuous State and Action Spaces. 331-336
- Marek Grzes, Daniel Kudenko: Theoretical and Empirical Analysis of Reward Shaping in Reinforcement Learning. 337-344
- Scott Proper, Prasad Tadepalli: Multiagent Transfer Learning via Assignment-Based Decomposition. 345-350
Applications
- Sangoh Jeong, Swaroop Kalasapur, Doreen Cheng, Henry Song, Hyuk Cho: Clustering and Naive Bayesian Approaches for Situation-Aware Recommendation on Mobile Devices. 353-358
- Philip Gross, Ansaf Salleb-Aouissi, Haimonti Dutta, Albert Boulanger: Ranking Electrical Feeders of the New York Power Grid. 359-365
- Sildomar T. Monteiro, Fabio T. Ramos, Peter Hatherly: Conditional Random Fields for Rock Characterization Using Drill Measurements. 366-371
- Guénaël Cabanes, Younès Bennani, Frédéric Dufau-Joël: Mining Customers' Spatio-Temporal Behavior Data Using Topographic Unsupervised Learning. 372-377
- Haoming Xu, John James Collins: Estimating the Odometry Error of a Mobile Robot by Neural Networks. 378-385
- Adrien Combaz, Nikolay V. Manyakov, Nikolay Chumerin, Johan A. K. Suykens, Marc M. Van Hulle: Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling. 386-391
- Kristof Van Laerhoven, Eugen Berlin, Bernt Schiele: Enabling Efficient Time Series Analysis for Wearable Activity Data. 392-397
- Guopeng Zhao, Zhiqi Shen, Chunyan Miao: ELM-Based Intelligent Resource Selection for Grid Scheduling. 398-403
- Yasin Yilmaz, Suleyman Serdar Kozat: An Extended Version of the NLMF Algorithm Based on Proportionate Krylov Subspace Projections. 404-408
- Christos Dimitrakakis, Aikaterini Mitrokotsa: Statistical Decision Making for Authentication and Intrusion Detection. 409-414
- Pretesh B. Patel, Tshilidzi Marwala: Genetic Algorithms, Neural Networks, Fuzzy Inference System, Support Vector Machines for Call Performance Classification. 415-420
ICMLA Challenge: Machine Learning in Functional Clustering
- Dario García-García, Raúl Santos-Rodríguez: Spectral Clustering and Feature Selection for Microarray Data. 425-428
- Meir Perez, Jonathan Featherston, David M. Rubin, Tshilidzi Marwala, Lesley E. Scott, Wendy Stevens: Differentially Expressed Gene Identification Based on Separability Index. 429-434
- Ilia Nouretdinov, Brian Burford, Alexander Gammerman: Application of Inductive Confidence Machine to ICMLA Competition Data. 435-438
- Aleksey Fadeev, Oualid Missaoui, Hichem Frigui: Ensemble Possibilistic K-NN for Functional Clustering of Gene Expression Profiles in Human Cancers Challenge. 439-442
- Rami N. Mahdi, Eric C. Rouchka: Feature Selection in Cancer Classification from mRNA Data Based on Localized Dimension Reduction. 443-448
Special Session: Machine Learning Methods for Modeling Treatment Outcomes in Cancer and Radiation Therapy
- Florian Buettner, Sarah Gulliford, Steve Webb, Mike Partridge: Using Bayesian Logistic Regression with High-Order Interactions to Model Radiation-Induced Toxicities Following Radiotherapy. 451-456
- Hao Howard Zhang, Leyuan Shi, Robert R. Meyer, Warren D. D'Souza: Machine Learning for Modeling Dose-Related Organ-at-Risk Complications after Radiation Therapy. 457-462
- Warren D. D'Souza, Kathleen Malinowski, Hao Howard Zhang: Machine Learning for Intra-Fraction Tumor Motion Modeling with Respiratory Surrogates. 463-467
- Ruijiang Li, John H. Lewis, Steve B. Jiang: Markerless Fluoroscopic Gating for Lung Cancer Radiotherapy Using Generalized Linear Discriminant Analysis. 468-472
- Xun Jia, Yifei Lou, Ruijiang Li, Xuejun Gu, John Levis, Steve B. Jiang: A Dynamic CT Image Reconstruction Method by Inducing Prior Information from PCA Analysis. 473-477
- Jung Hun Oh, Rawan Al-Lozi, Issam El-Naqa: Application of Machine Learning Techniques for Prediction of Radiation Pneumonitis in Lung Cancer Patients. 478-483
- Jung Hun Oh, Issam El-Naqa: Bayesian Network Learning for Detecting Reliable Interactions of Dose-Volume Related Parameters in Radiation Pneumonitis. 484-488
- Jorg Rottmann, Michalis Aristophanous, Sang-June Park, Aileen Chen, Ross Berbeco: Multi-Region Tracking for Lung Tumor Motion Assessment. 489-493
- Andre Dekker, Cary Dehing-Oberije, Dirk De Ruysscher, Philippe Lambin, Kartik Komati, Glenn Fung, Shipeng Yu, Andrew Hope, Wilfried De Neve, Yolande Lievens: Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data. 494-497
- Todd W. Schiller, Yixin Chen, Issam El-Naqa, Joseph O. Deasy: Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk. 498-503
- Weerayuth Chanapai, Panrasee Ritthipravat: Adaptive Thresholding based on SOM Technique for Semi-Automatic NPC Image Segmentation. 504-508
- Leif E. Peterson: Maximum Likelihood Logistic Regression Using Metaheuristics. 509-514
Special Session: Machine Learning in System Security
- Tiago A. Almeida, Akebo Yamakami, Jurandy Almeida: Evaluation of Approaches for Dimensionality Reduction Applied with Naive Bayes Anti-Spam Filters. 517-522
- Melissa Danforth: Towards a Classifying Artificial Immune System for Web Server Attacks. 523-527
- Miho Itoh: Contextual Analysis Processing Able to Interpret Coherence of Knowledge Representations Related to Reputation. 528-535
Machine Learning Applications in Bioinformatics and Computational Biology
- Yi Zhang, Erliang Zeng, Tao Li, Giri Narasimhan: Weighted Consensus Clustering for Identifying Functional Modules in Protein-Protein Interaction Networks. 539-544
- Rukshan Batuwita, Vasile Palade: A New Performance Measure for Class Imbalance Learning. Application to Bioinformatics Problems. 545-550
- Raúl Santos-Rodríguez, Dario García-García, Jesús Cid-Sueiro: Cost-Sensitive Classification Based on Bregman Divergences for Medical Diagnosis. 551-556
- Helyane Bronoski Borges, Júlio C. Nievola: Dimensionality Reduction in Gene Expression Database through the Random Projection Method. 557-562
- Stephan Simmuteit, Frank-Michael Schleif, Thomas Villmann, Thomas Elssner: Tanimoto Metric in Tree-SOM for Improved Representation of Mass Spectrometry Data with an Underlying Taxonomic Structure. 563-567
Special Session: Machine Learning with Multimedia Data
- Roberto Paredes, Adrian Ulges, Thomas M. Breuel: Fast Discriminative Linear Models for Scalable Video Tagging. 571-576
- Maria-Cristina Marinescu, Rafael Ramirez: A Timing-Based Classification Method for Human Voice in Opera Recordings. 577-582
- Daniel Gärtner, Christian Dittmar: Vocal Characteristics Classification of Audio Segments: An Investigation of the Influence of Accompaniment Music on Low-Level Features. 583-589
- Adrian Weller, Daniel P. W. Ellis, Tony Jebara: Structured Prediction Models for Chord Transcription of Music Audio. 590-595
- Liping Zhou, Chengcui Zhang, Wen Wan, Jeffrey B. Birch, Wei-bang Chen: An Image Clustering and Retrieval Framework Using Feedback-Based Integrated Region Matching. 596-601
- Ching-Wei Chen, Kyogu Lee, Ho-Hsiang Wu: Towards a Class-Based Representation of Perceptual Tempo for Music Retrieval. 602-607
Special Session: Machine Learning in Energy Applications
- Ilhami Colak, Mehmet Demirtas, Gungor Bal, Hamdi Tolga Kahraman: A Parameter Determination System for Wind Turbines Based on Naive Bayes Classification Algorithm. 611-616
- Hasan H. Onder: An Expert System to Estimate the Capacity of Harvesting Energy from Biogas and its Capacity in TRNC. 617-622
- N. T. Isembergenov, B. T. Matkarimov: Using Genetic Algorithm for Finding Switching Angles of a Single-Phase Multilevel DC/AC Converter on Solar Modules. 623-625
- Seref Sagiroglu, Ramazan Bayindir, Orhan Kaplan, Hamdi Tolga Kahraman: Development of an Intelligent Decision Support System for Determining the Efficiency of Shunt Active Power Filter. 626-631
- Raissa Onanena, Faicel Chamroukhi, Latifa Oukhellou, Denis Candusso, Patrice Aknin, Daniel Hissel: Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context. 632-637
- Fujio Kurokawa, Hidenori Maruta, Tomoyuki Mizoguchi, Akihiro Nakamura, Hiroyuki Osuga: A New Digital Control DC-DC Converter with Multi-layer Neural Network Predictor. 638-643
- Silviu Ionita: Multi Agent Holonic Based Architecture for Communication and Learning about Power Demand in Residential Areas. 644-649
Poster Papers
- R. Mahesh K. Sinha: Learning Disambiguation of Hindi Morpheme 'vaalaa' with a Sparse Corpus. 653-657
- Eren Esgin, Pinar Senkul: A Hybrid Approach to Process Mining: Finding Immediate Successors of a Process by Using From-To Chart. 664-668
- Ilhami Colak, Ramazan Bayindir, Hamdi Tolga Kahraman, Mehmet Yesilbudak: Design of an Intelligent Decision Making System for a Travelling Wave Ultrasonic Motor. 669-672
- Yuheng He, Attila Michael Bilgic: Learning Geographic Regions using Location Based Services in Next Generation Networks. 679-684
- Feras Al-Obeidat, Nabil Belacel, Prabhat Mahanti, Juan A. Carretero: Discretization Techniques and Genetic Algorithm for Learning the Classification Method PROAFTN. 685-688
- Nistor Grozavu, Younès Bennani: A New Competitive Strategy for Self Organizing Map Learning. 689-692
- William Lyles, Winard Britt, David M. Bevly: Evolution of Parameters for an Autonomous Canine Control Algorithm. 699-704
- Yan Tang, Kunwu Feng, Kendra Cooper, João W. Cangussu: Requirement Engineering Techniques Selection and Modeling. 705-709
- Kevin Dela Rosa, Jeffrey Ellen: Text Classification Methodologies Applied to Micro-Text in Military Chat. 710-714
- Yilmaz Yoru, T. Hikmet Karakoc, Arif Hepbasli: Application of Artificial Neural Network (ANN) Method to Exergy Analysis of Thermodynamic Systems. 715-718
- Axinia Radeva, Cynthia Rudin, Rebecca J. Passonneau, Delfina Isaac: Report Cards for Manholes: Eliciting Expert Feedback for a Learning Task. 719-724
- Bert C. Huang, Ansaf Salleb-Aouissi, Philip Gross: Alive on Back-feed Culprit Identification via Machine Learning. 725-730
- Wei Fan, Toyohide Watanabe, Koichi Asakura: Mining Interesting Ratio Patterns over a Stream Sliding Window. 731-734
- Iyad Batal, Milos Hauskrecht: A Supervised Time Series Feature Extraction Technique Using DCT and DWT. 735-739
- Gürsel Serpen, Santhosh Pathical: Classification in High-Dimensional Feature Spaces: Random Subsample Ensemble. 740-745
- Ricardo Sousa, Beatriz Mora, Jaime S. Cardoso: An Ordinal Data Method for the Classification with Reject Option. 746-750
- Yalcin Durmusoglu, Tanzer Satir, Cengiz Deniz, Alper Kilic: A Novel Energy Saving and Power Production System Performance Analysis in Marine Power Plant Using Waste Heat. 751-754
- Sirvan Khalighi, Parisa Tirdad, Hamid R. Rabiee, Mehdi Parviz: A Novel OCR System for Calculating Handwritten Persian Arithmetic Expressions. 755-758
- Yannick Le Bras, Philippe Lenca, Sorin Moga, Stéphane Lallich: All-Monotony: A Generalization of the All-Confidence Antimonotony. 759-764
- Sampath Deegalla, Henrik Boström: Improving Fusion of Dimensionality Reduction Methods for Nearest Neighbor Classification. 771-775
- Vipul Agarwal, Chiranjib Bhattacharyya, Thirumale Niranjan, Sai Susarla: Discovering Rules from Disk Events for Predicting Hard Drive Failures. 782-786
- Ramazan Bayindir, Ilhami Colak, Ersan Kabalci, Erdal Irmak: The Fuzzy Logic Control of a Multilevel Converter in a Variable Speed Wind Turbine. 787-790
- Fawad Jamshed, Christian R. Huyck: Grounding Symbols: Labelling and Resolving Pronoun Resolution with fLIF Neurons. 791-794
- Arunkumar Balakrishnan: Development of an Ontology of Learning Strategies and its Application to Generate Open Learner Models. 795-798
- Cesar Souza, Ednaldo Pizzolato, Renata Mendes, Audrey Borghi-Silva, Mauricio Machado, Paulo Correa: Artificial Neural Networks Prognostic Evaluation of Post-Surgery Complications in Patients Underwent to Coronary Artery Bypass Graft Surgery. 799-803
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