Table of Contents

• Ecosembles: A Rapidly Deployable Image Classification System Using Feature-ViewsAdrian Rosebrock, Tim Oates, Jesus Caban. 1-8 [doi]
• An Empirical Comparison of Spectral Learning Methods for ClassificationAdam Drake, Dan Ventura. 9-14 [doi]
• Informative Projection Recovery for Classification, Clustering and RegressionMadalina Fiterau, Artur Dubrawski. 15-20 [doi]
• Locally Linear Minimum Spanning Trees for Manifold LearningCarlos A. Quintero, Fernando Lozano. 21-26 [doi]
• Improving Software Quality Estimation by Combining Boosting and Feature SelectionKehan Gao, Taghi M. Khoshgoftaar, Amri Napolitano. 27-33 [doi]
• SetNet: Ensemble Method Techniques for Learning Regulatory NetworksI. Chhbil, Mohamed Elati, Céline Rouveirol, G. Santini. 34-39 [doi]
• An Ensemble Learning Framework for Online Web Spam DetectionCailing Dong, Bin Zhou. 40-45 [doi]
• Rot-SiLA: A Novel Ensemble Classification Approach Based on Rotation Forest and Similarity Learning Using Nearest Neighbor AlgorithmMuhammad Shaheryar, Mehrosh Khalid, Ali Mustafa Qamar. 46-51 [doi]
• Distributed Kernel Matrix Approximation and Implementation Using Message Passing InterfaceTaher A. Dameh, Wael Abd-Almageed, Mohamed Hefeeda. 52-57 [doi]
• Approximate l-Fold Cross-Validation with Least Squares SVM and Kernel Ridge RegressionRichard E. Edwards, Hao Zhang, Lynne E. Parker, Joshua R. New. 58-64 [doi]
• Multi-modal Tree-Based SVM ClassificationCecille Freeman, Dana Kulic, Otman Basir. 65-71 [doi]
• Kernel SODA: A Feature Reduction Technique Using Kernel Based AnalysisYinan Yu, Tomas McKelvey, Sun-Yuan Kung. 72-78 [doi]
• INDiC: Improved Non-intrusive Load Monitoring Using Load Division and CalibrationNipun Batra, Haimonti Dutta, Amarjeet Singh. 79-84 [doi]
• Automatic Grading of Computer Programs: A Machine Learning ApproachShashank Srikant, Varun Aggarwal. 85-92 [doi]
• Empirical Co-occurrence Rate Networks for Sequence LabelingZhemin Zhu, Djoerd Hiemstra, Peter M. G. Apers, Andreas Wombacher. 93-98 [doi]
• Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent TrapsDiego F. Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Daniel P. W. Ellis. 99-104 [doi]
• How Learning Enables Intelligence Analysts to Rapidly Develop Practical Cognitive AssistantsGheorghe Tecuci, Mihai Boicu, Dorin Marcu, David Schum. 105-110 [doi]
• Learning Decision Trees from Uncertain Data with an Evidential EM ApproachNicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux. 111-116 [doi]
• A Sequential Testing Procedure for Multiple Change-Point Detection in a Stream of Pneumatic Door SignaturesNicolas Cheifetz, Allou Samé, Patrice Aknin, Emmanuel De Verdalle, Damien Chenu. 117-122 [doi]
• Linear Online Learning over Structured Data with Distributed Tree KernelsSimone Filice, Danilo Croce, Roberto Basili, Fabio Massimo Zanzotto. 123-128 [doi]
• eQTL Mapping Study via Regularized Sparse Canonical Correlation AnalysisMingon Kang, Shuo Li, Dong-Chul Kim, Chunyu Liu, Baoju Zhang, Xiaoyong Wu, Jean Gao. 129-134 [doi]
• Blood Glucose Level Prediction Using Physiological Models and Support Vector RegressionRazvan C. Bunescu, Nigel Struble, Cindy Marling, Jay Shubrook, Frank Schwartz. 135-140 [doi]
• Mining Biomedical Ontologies and Data Using RDF HypergraphsHaishan Liu, Dejing Dou, Ruoming Jin, Paea LePendu, Nigam Shah. 141-146 [doi]
• A Fast Multi-component Latent Variable Regression Framework for Quantitative Analysis of Surface-Enhanced Raman SpectraShuo Li, James O. Nyagilo, Digant P. Dave, Baoju Zhang, Xiaoyong Wu, Jean Gao. 147-152 [doi]
• A Comparative Study of Food Intake Detection Using Artificial Neural Network and Support Vector MachineMuhammad Farooq, Juan M. Fontana, Akua F. Boateng, Megan A. Mccrory, Edward Sazonov. 153 [doi]
• Random Forest with 200 Selected Features: An Optimal Model for Bioinformatics ResearchRandall Wald, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano. 154-160 [doi]
• Zebrafish Larva Locomotor Activity Analysis Using Machine Learning TechniquesHao Zhang, Scott C. Lenaghan, Michelle H. Connolly, Lynne E. Parker. 161-166 [doi]
• Machine Learning Techniques for LV Wall Motion Classification Based on Spatio-temporal Profiles from Cardiac Cine MRIJuan Mantilla, Mireille Garreau, Jean-Jacques Bellanger, Jose Luis Paredes. 167-172 [doi]
• Variable-Length Protein Sequence Motif Extraction Using Hierarchically-Clustered Hidden Markov ModelsCody Hudson, Bernard Chen. 173-178 [doi]
• A Latent Semantic Approach to XML Clustering by Content and Structure Based on Non-negative Matrix FactorizationGianni Costa, Riccardo Ortale. 179-184 [doi]
• Terrain Classification for a Quadruped RobotJonas Degrave, Robin Van Cauwenbergh, Francis Wyffels, Tim Waegeman, Benjamin Schrauwen. 185-190 [doi]
• Community Event Prediction in Dynamic Social NetworksNagehan Ilhan, Sule Gündüz Ögüdücü. 191-196 [doi]
• Learning to Track Multi-target Online by Boosting and Scene LayoutGuang Chen, Feihu Zhang, Daniel Clarke, Alois Knoll. 197-202 [doi]
• A First Step towards the Runtime Analysis of Evolutionary Algorithm Adjusted with Reinforcement LearningMaxim Buzdalov, Arina Buzdalova, Anatoly Shalyto. 203-208 [doi]
• Partially-Sparse Restricted Boltzmann Machine for Background Modeling and SubtractionRui Guo, Hairong Qi. 209-214 [doi]
• The SLS-Generated Soft Robotic Hand - An Integrated Approach Using Additive Manufacturing and Reinforcement LearningArne Rost, Stephan Schadle. 215-220 [doi]
• WMCD: A Situation Aware Multicast Congestion Detection Scheme Using Support Vector Machines in MANETsXiaoming Liu, Henry Nyongesa, James Connan. 221-226 [doi]
• Coordinated Reinforcement Learning Agents in a Multi-agent Virtual EnvironmentWilliam Sause. 227-230 [doi]
• Natural Image Segmentation Based on Precise Edge DetectionWenya Feng, Yilin Guo, Xiaoyu Shi, Yonggan Hou. 231-234 [doi]
• Applications of Class-Conditional Conformal Predictor in Multi-class ClassificationFan Shi, Cheng Soon Ong, Christopher Leckie. 235-239 [doi]
• Affect Detection and Classification from the Non-stationary Physiological DataOmar AlZoubi, Davide Fossati, Sidney K. D'Mello, Rafael A. Calvo. 240-245 [doi]
• Application of Neural Networks Based SANARX Model for Identification and Control Liquid Level Tank SystemJuri Belikov, Sven Nomm, Eduard Petlenkov, Kristina Vassiljeva. 246-251 [doi]
• Arm Space Decomposition as a Strategy for Tackling Large Scale Multi-armed Bandit ProblemsNeha Gupta, Ole-Christoffer Granmo, Ashok K. Agrawala. 252-257 [doi]
• On the Behaviour of Scalarization Methods for the Engagement of a Wet ClutchTim Brys, Kristof Van Moffaert, Kevin Van Vaerenbergh, Ann Nowé. 258-263 [doi]
• Random Forest Classification for Hippocampal Segmentation in 3D MR ImagesRosalia Maglietta, Nicola Amoroso, Stefania Bruno, Andrea Chincarini, Giovanni B. Frisoni, Paolo Inglese, Sabina Tangaro, Andrea Tateo, Roberto Bellotti. 264-267 [doi]
• Ordered Segment for Classification of Big DataA. Fatholahzadeh. 268-272 [doi]
• Indicative Support Vector Clustering with Its Application on Anomaly DetectionHuang Xiao, Claudia Eckert. 273-276 [doi]
• Computed Data-Geometry Based Supervised and Semi-supervised Learning in High Dimensional DataElizabeth P. Chou, Fushing Hsieh, John Capitanio. 277-282 [doi]
• Collective Classification Using Semantic Based RegularizationClaudio Saccà, Michelangelo Diligenti, Marco Gori. 283-286 [doi]
• Graph and Manifold Co-regularizationClaudio Saccà, Michelangelo Diligenti, Marco Gori. 287-290 [doi]
• Segmental Analysis and Evaluation of User Focused Search ProcessChathra Hendahewa, Chirag Shah. 291-294 [doi]
• Dynamic Distributed Genetic Algorithm Using Hierarchical Clustering for Flight Trajectory Optimization of Winged RocketS. Miyamoto, T. Matsumoto, K. Yonemoto. 295-298 [doi]
• Adversarial Spam Detection Using the Randomized Hough Transform-Support Vector MachineDave DeBarr, Hao Sun, Harry Wechsler. 299-304 [doi]
• Machine Learning Techniques Applied to Sensor Data Correction in Building TechnologiesMatt K. Smith, Charles C. Castello, Joshua R. New. 305-308 [doi]
• Eigenfaces for Face Detection: A Novel StudySalaheddin Alakkari, John James Collins. 309-314 [doi]
• Discriminative Apprenticeship Learning with Both Preference and Non-preference BehaviorDingsheng Luo, Yi Wang, Xihong Wu. 315-320 [doi]
• BEMI Bicluster Ensemble Using Mutual InformationGeeta Aggarwal, Neelima Gupta. 321-324 [doi]
• Using Support Vector Machines to Classify Student Attentiveness for the Development of Personalized Learning SystemsManus Ross, Corey A. Graves, John W. Campbell, Jung H. Kim. 325-328 [doi]
• A Temporal Difference GNG-Based Algorithm That Can Learn to Control in Reinforcement Learning EnvironmentsDavi C. de L. Vieira, Paulo J. L. Adeodato, Paulo M. Goncalves Junior. 329-332 [doi]
• Cost Sensitive Credit Card Fraud Detection Using Bayes Minimum RiskAlejandro Correa Bahnsen, Aleksandar Stojanovic, Djamila Aouada, Björn W. Ottersten. 333-338 [doi]
• Event Causality Identification Using Conditional Random Field in Geriatric Care DomainSaeed Mehrabi, Anand Krishnan, Eric Tinsley, Jon Sligh, Natalie Crohn, Heather Bush, Jason Depasquale, Jean Bandos, Mathew Palakal. 339-343 [doi]
• Movie Recommendation Using Unrated DataDong Nie, Lingzi Hong, Tingshao Zhu. 344-347 [doi]
• Targeted Action Rule DiscoveryTom Johnsten, Samy Alihamad, Ashwin Kannalath, Ryan G. Benton. 348-353 [doi]
• Parallel Coordinate Descent for the Adaboost ProblemOlivier Fercoq. 354-358 [doi]
• Hybrid Ontology-Based Information Extraction for Automated Text GradingFernando Gutierrez, Dejing Dou, Adam Martini, Stephen Fickas, Hui Zong. 359-364 [doi]
• Empirical Evaluation of Profile Characteristics for Gender Classification on TwitterJalal S. Alowibdi, Ugo A. Buy, Philip S. Yu. 365-369 [doi]
• Determining Potential Yeast Longevity Genes via PPI Networks and Microarray Data Clustering AnalysisBernard Chen, Roshan Doolabh, Fusheng Tang. 370-373 [doi]
• Higher-Order Regularized Kernel CCAMd. Ashad Alam, Kenji Fukumizu. 374-377 [doi]
• Protein Local Tertiary Structure Prediction Using the Adaptively-Branching FGK-DF ModelBernard Chen, Cody Hudson, Aaron Crawford, Minwoo Kim. 378-381 [doi]
• Data Analysis, Discharge Classifications, and Predictions of Hydrological Parameters for the Management of Rawal Dam in PakistanMaqbool Ali, Ali Mustafa Qamar, Bilal Ali. 382-385 [doi]
• Evolutionary Content Pre-fetching in Mobile NetworksOmar K. Shoukry, Magda B. Fayek. 386-391 [doi]
• Learning the Dynamic Process of Inhibition and Task Switching in Robotics Cognitive ControlMatteo Menna, Mario Gianni, Fiora Pirri. 392-397 [doi]
• Scalable Expert Selection When Learning from Noisy LabelersChirine Wolley, Mohamed Quafafou. 398-401 [doi]
• Incorporating Categorical Information for Enhanced Probabilistic Trajectory PredictionJürgen Wiest, Felix Kunz, Ulrich Kressel, Klaus Dietmayer. 402-407 [doi]
• Online Processing of Social Media Data for Emergency ManagementDaniela Pohl, Abdelhamid Bouchachia, Hermann Hellwagner. 408-413 [doi]
• Deep Multiple Kernel LearningEric V. Strobl, Shyam Visweswaran. 414-417 [doi]
• Comparative Analysis on the Stability of Feature Selection Techniques Using Three Frameworks on Biological DatasetsRandall Wald, Taghi M. Khoshgoftaar, Ahmad Abu Shanab, Amri Napolitano. 418-423 [doi]
• Learning-Based Incremental Creation of Web Image DatabasesMarian George, Nagia Ghanem, M. A. Ismail. 424-429 [doi]
• An Incremental Parallel Particle Swarm Approach for Classification Rule Discovery from Dynamic DataKaveh Hassani, Won-Sook Lee. 430-435 [doi]
• A Classifier Ensembling Approach for Imbalanced Social Link PredictionJose Hurtado, Napat Taweewitchakreeya, Xue Kong, Xingquan Zhu. 436-439 [doi]
• Phrase Based Topic Modeling for Semantic Information Processing in BiomedicineZhiguo Yu, Todd R. Johnson, Ramakanth Kavuluru. 440-445 [doi]