Table of Contents

• A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series SegmentationSilvia Chiappa. 3-9 [doi]
• Prioritizing Health Promotion Plans with k-Bayesian Network ClassifierKen Ueno, Toshio Hayashi, Koichiro Iwata, Nobuyoshi Honda, Youichi Kitahara, Topon Kumar Paul. 10-15 [doi]
• Temporal Exemplar-Based Bayesian Networks for Facial Expression RecognitionLifeng Shang, Kwok Ping Chan. 16-22 [doi]
• A Bayesian Learning Automaton for Solving Two-Armed Bernoulli Bandit ProblemsOle-Christoffer Granmo. 23-30 [doi]
• Combining Dissimilarities in a Hyper Reproducing Kernel Hilbert Space for Complex Human Cancer PredictionÁngela Blanco, Manuel Martín-Merino, Javier De Las Rivas. 33-39 [doi]
• Making the Lipschitz Classifier Practical via Semi-infinite ProgrammingAndré Stuhlsatz, Hans-Günter Meier, Andreas Wendemuth. 40-47 [doi]
• A Supervised Decision Rule for Multiclass Problems Minimizing a Loss FunctionNisrine Jrad, Edith Grall-Maës, Pierre Beauseroy. 48-53 [doi]
• Selecting Examples in Manifold Reduced Feature Space for Active LearningCatarina Silva, Bernardete Ribeiro. 54-59 [doi]
• Network-Constrained Support Vector Machine for ClassificationLi Chen, Jianhua Xuan, Yue Wang, Rebecca B. Riggins, Robert Clarke. 60-65 [doi]
• Learning-Based Fusion for Data DeduplicationJared Dinerstein, Sabra Dinerstein, Parris K. Egbert, Stephen W. Clyde. 66-71 [doi]
• Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning ArchitectureSertan Girgin, Philippe Preux. 75-82 [doi]
• A Predictive Model for Imitation Learning in Partially Observable EnvironmentsAbdeslam Boularias. 83-90 [doi]
• Classifier-Based Policy RepresentationIoannis Rexakis, Michail G. Lagoudakis. 91-98 [doi]
• Prediction-Directed Compression of POMDPsAbdeslam Boularias, Masoumeh T. Izadi, Brahim Chaib-draa. 99-105 [doi]
• Empirical Comparison of Greedy Strategies for Learning Markov Networks of Treewidth kK. Nunez, Jianhua Chen, Peter P. Chen, Guoli Ding, Robert F. Lax, Brian D. Marx. 106-111 [doi]
• A Greedy Approach for Building Classification CascadesSherif Abdelazeem. 115-120 [doi]
• Calibrating Random ForestsHenrik Boström. 121-126 [doi]
• On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of ClassifiersTuve Löfström, Ulf Johansson, Henrik Boström. 127-132 [doi]
• New Insights into Learning Algorithms and DatasetsJun Won Lee, Christophe G. Giraud-Carrier. 135-140 [doi]
• Learning Analysis by Reduction from Positive Data Using Reverible LanguagesPetr Hoffmann. 141-146 [doi]
• Simultaneously Removing Noise and Selecting Relevant Features for High Dimensional Noisy DataBoseon Byeon, Khaled Rasheed. 147-152 [doi]
• Comparison of Four Performance Metrics for Evaluating Sampling Techniques for Low Quality Class-Imbalanced DataAndres Folleco, Taghi M. Khoshgoftaar, Amri Napolitano. 153-158 [doi]
• Improving Kernel Density Classifier Using Corrective Bandwidth Learning with Smooth Error Loss FunctionDwi Sianto Mansjur, Biing-Hwang Juang. 161-167 [doi]
• An Investigation of Non-Uniform Error Cost Function Design in Automatic Speech RecognitionQiang Fu, Biing-Hwang Juang. 168-173 [doi]
• Boundary Constrained Manifold UnfoldingBo Liu, Hongbin Zhang, WenAn Chen. 174-181 [doi]
• Target Selection: A New Learning Paradigm and Its Application to Genetic Association StudiesJohannes Mohr, Sambu Seo, Imke Puis, Andreas Heinz, Klaus Obermayer. 182-187 [doi]
• Regularized Minimum Volume Ellipsoid Metric for Query-Based LearningKarim T. Abou-Moustafa, Frank P. Ferrie. 188-193 [doi]
• Graph-Based Multilevel Dimensionality Reduction with Applications to Eigenfaces and Latent Semantic IndexingSophia Sakellaridi, Haw-ren Fang, Yousef Saad. 194-200 [doi]
• Model Based Unsupervised Learning Guided by Abundant Background SamplesRami Mahdi, Eric C. Rouchka. 203-210 [doi]
• Chi-Sim: A New Similarity Measure for the Co-clustering TaskGilles Bisson, Fawad Hussain. 211-217 [doi]
• Relational Analysis for Consensus Clustering from Multiple PartitionsMustapha Lebbah, Younès Bennani, Hamid Benhadda. 218-223 [doi]
• Probabilistic Mixed Topological Map for Categorical and Continuous DataNicoleta Rogovschi, Mustapha Lebbah, Younès Bennani. 224-231 [doi]
• Farthest Centroids Divisive ClusteringHaw-ren Fang, Yousef Saad. 232-238 [doi]
• Are Neural Fields Suitable for Vector Quantization?Lucian Alecu, Hervé Frezza-Buet. 239-244 [doi]
• Image Segmentation as Learning on HypergraphsLei Ding, Alper Yilmaz. 247-252 [doi]
• Autonomous Detector Using Saliency Map Model and Modified Mean-Shift Tracking for a Blind Spot Monitor in a CarSungmoon Jeong, Sang-Woo Ban, Minho Lee. 253-258 [doi]
• Probabilistic Exploitation of the Lucas and Kanade Smoothness ConstraintVolker Willert, Julian Eggert, Marc Toussaint, Edgar Körner. 259-266 [doi]
• Video Shot Segmentation Using Late Fusion TechniqueC. Krishna Mohan, N. Dhananjaya, B. Yegnanarayana. 267-270 [doi]
• Detection of Unnatural Movement Using Epitomic AnalysisWooYoung Kim, James M. Rehg. 271-276 [doi]
• Comparison with Parametric Optimization in Credit Card Fraud DetectionManoel Fernando Alonso Gadi, Xidi Wang, Alair Pereira do Lago. 279-285 [doi]
• A Study of GP s Division Operators for Symbolic RegressionMatej Sprogar. 286-291 [doi]
• Adaptively Evolving Probabilities of Genetic OperatorsFatemeh Vafaee, Weimin Xiao, Peter C. Nelson, Chi Zhou. 292-299 [doi]
• Scalable Patch Management Using Evolutionary Analysis of Attack GraphsMelissa Danforth. 300-307 [doi]
• Combining the Wavelet Transform and Forecasting Models to Predict Gas Forward PricesHang T. Nguyen, Ian T. Nabney. 311-317 [doi]
• Improving Accuracy in the Montgomery County Corrections Program Using Case-Based ReasoningCaio Soares, Christin Hamilton, Lacey Montgomery, Juan E. Gilbert. 318-323 [doi]
• Extraction of Failure Graphs from Structured and Unstructured DataMartin Schierle, Daniel Trabold. 324-330 [doi]
• Adaptive Localization through Transfer Learning in Indoor Wi-Fi EnvironmentZhuo Sun, Yiqiang Chen, Juan Qi, Junfa Liu. 331-336 [doi]
• Does Wikipedia Information Help Netflix Predictions?John Lees-Miller, Fraser Anderson, Bret Hoehn, Russell Greiner. 337-343 [doi]
• Boltzmann Machine Topology Learning for Distributed Sensor Networks Using Loopy Belief Propagation InferenceCristina Picus, Luigi Cambrini, Wolfgang Herzner. 344-349 [doi]
• Distributed Optimization Strategies for Mining on Peer-to-Peer NetworksHaimonti Dutta, Ananda Matthur. 350-355 [doi]
• Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural NetworksErdal Kayacan, Yesim Oniz, Okyay Kaynak, Andon V. Topalov. 356-361 [doi]
• A Fully Automatic Crossword GeneratorLeonardo Rigutini, Michelangelo Diligenti, Marco Maggini, Marco Gori. 362-367 [doi]
• CoReJava: Learning Functions Expressed as Object-Oriented ProgramsAlexander Brodsky, Juan Luo, Hadon Nash. 368-375 [doi]
• Speaker Siglet Detection for Business MicroscopeJun Nishimura, Nobuo Sato, Tadahiro Kuroda. 376-381 [doi]
• Automated Analysis for Detecting Beams in Laser Wakefield SimulationsDaniela Mayumi Ushizima, Oliver Rübel, Prabhat, Gunther H. Weber, E. Wes Bethel, Cecilia R. Aragon, Cameron G. R. Geddes, Estelle Cormier-Michel, Bernd Hamann, Peter Messmer, Hans Hagen. 382-387 [doi]
• Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic DataJoshua M. Lewis, Pincelli M. Hull, Kilian Q. Weinberger, Lawrence K. Saul. 388-395 [doi]
• Distributed Planning in Stochastic Games with CommunicationAndriy Burkov, Brahim Chaib-draa. 396-401 [doi]
• Multi-stage Learning of Linear Algebra AlgorithmsVictor Eijkhout, Erika Fuentes. 402-407 [doi]
• Optimization on a Novel Quantum Greedy Approach Based on Learning Strategy for Zero and One Knapsack Problem and EvaluationMir Shahriar Emami. 408-414 [doi]
• Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device DiagnosisEtienne Côme, Zohra Leila Cherfi, Latifa Oukhellou, Patrice Aknin. 415-420 [doi]
• Estimation of Gaussian Mixtures from MomentsJohn Byrnes. 421-425 [doi]
• Force Feature Spaces for Visualization and ClassificationDragana Veljkovic, Kay A. Robbins. 426-433 [doi]
• Simulation Experiments with Bio-inspired Algorithms for Odor Source Localization in Laminar Wind FlowThomas Lochmatter, Alcherio Martinoli. 437-443 [doi]
• Integration of Chemical and Visual Sensors for Identifying an Odor Source in Near Shore Ocean ConditionsW. Li, J. Sutton, Y. Li. 444-449 [doi]
• Extraction of Meaningful Rules in a Medical DatabaseSang C. Suh, Sam Saffer, Naveen Kumar Adla. 450-456 [doi]
• Dimension Reduction via Unsupervised Learning Yields Significant Computational Improvements for Support Vector Machine Based Protein Family ClassificationBobbie-Jo M. Webb-Robertson, Melissa M. Matzke, Christopher S. Oehmen. 457-462 [doi]
• A Qualia Framework for Ladar 3D Object ClassificationMatthew D. Eyster, Michael J. Mendenhall, Steven K. Rogers. 463-469 [doi]
• Development of CPT_M3D for Multiple Chemical Plume Tracing and Source IdentificationJ. Sutton, W. Li. 470-475 [doi]
• Active Stereo Olfactory Sensing System for Localization of Gas/Odor SourceAtsushi Kohnotoh, Hiroshi Ishida. 476-481 [doi]
• Crayfish Robot Employing Flow Induced by Waving to Locate a Chemical SourceMari Ohashi, Yuichi Minagawa, Yuki Myoren, Hiroshi Ishida. 482-488 [doi]
• Toward Chemical-Trail Following RobotsPedro Sousa, Lino Marques, Anibal T. de Almeida. 489-494 [doi]
• Assessing Torso Deformity in Scoliosis Using Self-Organizing Neural Networks (SNN)Philip Igwe, Mahdieh Emrani, Samer Adeeb, Doug Hill. 497-502 [doi]
• Automated Microarray Classification Based on P-SVM Gene SelectionJohannes Mohr, Sambu Seo, Klaus Obermayer. 503-507 [doi]
• Automating Microarray Classification Using General Regression Neural NetworksCaio Soares, Lacey Montgomery, Kenneth Rouse, Juan E. Gilbert. 508-513 [doi]
• Incremental Hybrid Approach for Microarray ClassificationM. Arif Wani. 514-520 [doi]
• Segmentation of Lesions with Improved Specificity in Computer-Aided Diagnosis Using a Massive-Training Artificial Neural Network (MTANN)Kenji Suzuki. 523-527 [doi]
• Using Neural Networks to Predict Breathing MotionMartin J. Murphy. 528-532 [doi]
• Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning TechniquesTong Lin, Laura Cervino, Xiaoli Tang, Nuno Vasconcelos, Steve B. Jiang. 533-538 [doi]
• Nonlinear Kernel-Based Approaches for Predicting Normal Tissue ToxicitiesIssam El-Naqa, Jeffrey D. Bradley, Joseph Deasy. 539-544 [doi]
• Decision Fusion of Machine Learning Models to Predict Radiotherapy-Induced Lung PneumonitisShiva K. Das, Shifeng Chen, Joseph O. Deasy, Sumin Zhou, Fang-Fang Yin, Lawrence B. Marks. 545-550 [doi]
• Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung RadiotherapyXiaoli Tang, Tong Lin, Steve B. Jiang. 551-555 [doi]
• Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating GenesCecilia Sönströd, Ulf Johansson, Ulf Norinder, Henrik Boström. 559-564 [doi]
• RNA Search Acceleration with Genetic Algorithm Generated Decision TreesScott F. Smith. 565-570 [doi]
• Detection of Sequential Outliers Using a Variable Length Markov ModelCécile Low-Kam, Anne Laurent, Maguelonne Teisseire. 571-576 [doi]
• Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of ProteinsTheodoros Damoulas, Yiming Ying, Mark A. Girolami, Colin Campbell. 577-582 [doi]
• Microarray Classification from Several Two-Gene Expression ComparisonsDonald Geman, Bahman Afsari, Aik Choon Tan, Daniel Q. Naiman. 583-585 [doi]
• Group Testing in the Development of an Expanded Cancer Staging SystemDechang Chen, Kai Xing, Donald Henson, Li Sheng. 589-594 [doi]
• Clustering for DNA Microarray Data Analysis with a Graph Cut Based AlgorithmJia Song, Chunmei Liu, Yinglei Song, Junfeng Qu. 595-598 [doi]
• Detecting Disease Associated Genes and Gene-Gene Interactions with Penalized AUC MaximizationZhenqiu Liu. 599-603 [doi]
• External Validation of a Bayesian Neural Network Model in Survival AnalysisAzzam F. Taktak, Antonio Eleuteri, M. S. Hane Aung, Paulo J. G. Lisboa, Laurence Desjardins, Bertil E. Damato. 607-612 [doi]
• Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain TumorsPaulo J. G. Lisboa, Enrique Romero, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús. 613-618 [doi]
• A Comparison of Three Different Methods for Classification of Breast Cancer DataDaniele Soria, Jonathan M. Garibaldi, Elia Biganzoli, Ian O. Ellis. 619-624 [doi]
• Support Vector Machines versus Decision Templates in Biomedical Decision FusionIoannis N. Dimou, Michalis E. Zervakis. 625-630 [doi]
• Distance Metric Learning and Support Vector Machines for Classification of Mass Spectrometry Proteomics DataQingzhong Liu, Mengyu Qiao, Andrew H. Sung. 631-636 [doi]
• Hermite/Laguerre Neural Networks for Classification of Artificial Fingerprints from Optical Coherence TomographyLeif E. Peterson, Kirill V. Larin. 637-643 [doi]
• Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer SurvivalAna S. Fernandes, Ian H. Jarman, Terence A. Etchells, José M. Fonseca, Elia Biganzoli, Chris Bajdik, Paulo J. G. Lisboa. 644-649 [doi]
• Cancer Profiles by Affinity PropagationFederico Ambrogi, Elena Raimondi, Daniele Soria, Patrizia Boracchi, Elia Biganzoli. 650-655 [doi]
• Highly Scalable SVM Modeling with Random Granulation for Spam Sender DetectionYuchun Tang, Yuanchen He, Sven Krasser. 659-664 [doi]
• On the Use of Decision Trees as Behavioral Approaches in Intrusion DetectionKarim Tabia, Salem Benferhat. 665-670 [doi]
• Video Steganalysis Based on the Expanded Markov and Joint Distribution on the Transform Domains Detecting MSU StegoVideoQingzhong Liu, Andrew H. Sung, Mengyu Qiao. 671-674 [doi]
• Research on Data Mining Algorithms for Automotive Customers Behavior Prediction ProblemLan Huang, Chunguang Zhou, Yu-qin Zhou, Zhe Wang. 677-681 [doi]
• Dynamic Knowledge Management Procedure Using Fuzzy ClusteringChingwei Chang, Kwoting Fang, Chiungyu Huang. 682-687 [doi]
• Multimodal Music Mood Classification Using Audio and LyricsCyril Laurier, Jens Grivolla, Perfecto Herrera. 688-693 [doi]
• A User Modeling Approach to Web Based Adaptive Educational Hypermedia SystemsIlhami Colak, Seref Sagiroglu, Hamdi Tolga Kahraman. 694-699 [doi]
• Prediction of Inter-residue Contact Clusters from Hydrophobic CoresPeng Chen, Chunmei Liu, Legand L. Burge III, Mahmood Mohammad, William M. Southerland, Clay Gloster. 703-708 [doi]
• Ensemble Machine Methods for DNA BindingYue Fan, Mark A. Kon, Charles DeLisi. 709-716 [doi]
• Gene Network Learning Using Regulated Dynamic Bayesian Network MethodsXiaotong Lin, Xue-wen Chen. 717-722 [doi]
• A Clustering Approach in Developing Prognostic Systems of Cancer PatientsDechang Chen, Kai Xing, Donald Henson, Li Sheng, Arnold M. Schwartz, Xiuzhen Cheng. 723-728 [doi]
• Text, Image and Vector Graphics Based Appraisal of Contemporary DocumentsSang-Chul Lee, William McFadden, Peter Bajcsy. 729-734 [doi]
• Efficient Hiding of Collaborative Recommendation Association Rules with UpdatesShyue-Liang Wang, Ting-Zheng Lai, Tzung-Pei Hong, Yu-Lung Wu. 737-740 [doi]
• A Combination of Positive and Negative Fuzzy Rules for Image Classification ProblemThanh Minh Nguyen, Q. M. Jonathan Wu. 741-746 [doi]
• Incremental Learning for Multitask Pattern Recognition ProblemsSeiichi Ozawa, Asim Roy. 747-751 [doi]
• Estimating Missing Data and Determining the Confidence of the Estimate DataJaisheel Mistry, Fulufhelo Vincent Nelwamondo, Tshilidzi Marwala. 752-755 [doi]
• A New Neural Network to Process Missing Data without ImputationMary M. Randolph-Gips. 756-762 [doi]
• Text Classification Using Tree Kernels and Linguistic InformationTeresa Gonçalves, Paulo Quaresma. 763-768 [doi]
• An Improved Generalized Discriminant Analysis for Large-Scale Data SetWeiya Shi, Yue-Fei Guo, Cheng Jin, Xiangyang Xue. 769-772 [doi]
• Knowledge-Supervised Learning by Co-clustering Based ApproachCongle Zhang, Dikan Xing. 773-776 [doi]
• Comparison of Evaluation Metrics in Classification Applications with Imbalanced DatasetsMehrdad Fatourechi, Rabab K. Ward, Steven G. Mason, Jane Huggins, Alois Schlögl, Gary E. Birch. 777-782 [doi]
• Comparison of the Effects of Morphological and Ontological Information on Text CategorizationCesar Koirala, Khaled Rasheed. 783-786 [doi]
• A Comparative Study of Selected Classification Accuracy in User ProfilingAyse Cufoglu, Mahi Lohi, Kambiz Madani. 787-791 [doi]
• Applying Learning by Tutelage and Multimodal Interface to Sociable RobotsClaudio A. Policastro, Gabriel D. Pais, Vitor R. Munhoz, Roseli A. F. Romero, Giovana Zuliani, Ednaldo Brigante Pizzolato. 792-795 [doi]
• Estimation of Exercise Energy Expenditure Using a Wrist-Worn Accelerometer: A Linear Mixed Model Approach with Fixed-Effect Variable SelectionEija Haapalainen, Perttu Laurinen, Juha Röning, Hannu Kinnunen. 796-801 [doi]
• A Weighted Distance Measure for Calculating the Similarity of Sparsely Distributed TrajectoriesPekka Siirtola, Perttu Laurinen, Juha Röning. 802-807 [doi]
• Predicting Algorithm Accuracy with a Small Set of Effective Meta-FeaturesJun Won Lee, Christophe G. Giraud-Carrier. 808-812 [doi]
• An Application of Latent Dirichlet Allocation to Analyzing Software EvolutionErik Linstead, Cristina Videira Lopes, Pierre Baldi. 813-818 [doi]
• Machine Learning Techniques Applied to Dynamic Video AdaptingRobson Eisinger, Roseli A. F. Romero, Rudinei Goularte. 819-822 [doi]
• Comparative Analysis of the Impact of Discretization on the Classification with Naïve Bayes and Semi-Naïve Bayes ClassifiersMarcin Mizianty, Lukasz A. Kurgan, Marek R. Ogiela. 823-828 [doi]
• Biological Plausibility in Artificial Neural Networks: An Improvement on Earlier ModelsAlberione Braz da Silva, João Luís Garcia Rosa. 829-834 [doi]
• Research of PU Text Semi-supervised Classification Based on Ontology Feature ExtractionNa Luo, Fuyu Yuan, WanLi Zuo, Fengling He. 835-838 [doi]
• Handling Large Volumes of Mined Knowledge with a Self-Reconfigurable Topology on Distributed SystemsNhien-An Le-Khac, Lamine M. Aouad, M. Tahar Kechadi. 839-842 [doi]
• Dynamic Modeling with Ensemble Kalman Filter Trained Recurrent Neural NetworksDerrick Takeshi Mirikitani, Nikolay Nikolaev. 843-848 [doi]
• Entropy-Based Defuzzification Method with Expert s Epistemic Uncertainty for Deteriorating Repairable SystemsChi-Chang Chang. 849-852 [doi]
• Identification of Patterns via Region-Growing Parallel SOM Neural NetworkIren Valova, Daniel MacLean, Derek Beaton. 853-858 [doi]
• Speech Emotion Recognition Using Canonical Correlation Analysis and Probabilistic Neural NetworkLing Cen, Wee Ser, Zhu Liang Yu. 859-862 [doi]
• Data Integration for Recommendation SystemsZhonghang Xia, Houduo Qi, Manghui Tu, Wenke Zhang. 863-866 [doi]
• Online Writer-Independent Character Recognition Using a Novel Relational Context RepresentationSara Izadi, Ching Y. Suen. 867-870 [doi]
• Mining of Frequent Externally Extensible Outerplanar Graph PatternsHitoshi Yamasaki, Takayoshi Shoudai. 871-876 [doi]
• A Multi-expert Classification Framework with Transferable Voting for Intrusion DetectionTich Phuoc Tran, Pohsiang Tsai, Tony Jan. 877-882 [doi]
• Protein-Protein Interaction Prediction Using Single Class SVMHairong Lei, Joe Michael Kniss. 883-887 [doi]
• Statistical Face Recognition via a k-Means Iterative AlgorithmClaudio Cifarelli, G. Manfredi, L. Nieddu. 888-891 [doi]
• Nonlinear Discrete-Time Adaptive Controller Based on Fuzzy Rules Emulated Network and Its Estimated GradientChidentree Treesatayapun, Vicente Parra-Vega, Francisco José Ruiz Sanchez. 892-895 [doi]
• A Data Driven Knowledge Acquisition Method and Its Application in Power System Dynamic Stability AssessmentLin Guan, Tong-wen Wang, Yao Zhang, Li Jun Zhang. 896-899 [doi]
• Decision Tree Ensemble: Small Heterogeneous Is Better Than Large HomogeneousMichael Gashler, Christophe G. Giraud-Carrier, Tony R. Martinez. 900-905 [doi]