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ICMLA 2011: Honolulu, Hawaii, USA
- Xue-wen Chen, Tharam S. Dillon, Hisao Ishibuchi, Jian Pei, Haixun Wang, M. Arif Wani:
10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 1: Main Conference. IEEE Computer Society 2011, ISBN 978-0-7695-4607-0
Applications
- Steven Minton, Matthew Michelson, Kane See, Sofus A. Macskassy, Bora Gazen, Lise Getoor:
Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web. 1-6 - Loai M. Alnemer
, Omar Al Azzam
Multiple Sources Classification of Gene Position on Chromosomes Using Statistical Significance of Individual Classification Results. 7-12 - Jaime S. Cardoso
Max-Coupled Learning: Application to Breast Cancer. 13-18 - Omar Al Azzam
Network-Based Filtering of Unreliable Markers in Genome Mapping. 19-24 - Trung H. Duong
Automatic Dishware Inspection: Applications and Comparisons of Two New Methods. 25-30 - Ibrahim Almosallam, Mohamed I. Alkanhal
Speech Rating System through Space Mapping. 31-35 - Shukai Li, Ivor W. Tsang
Infinite Decision Agent Ensemble Learning System for Credit Risk Analysis. 36-39 - Saeed Salem, Shadi Banitaan, Ibrahim Aljarah
Discovering Communities in Social Networks Using Topology and Attributes. 40-43 - Alberto Cavallo
Using SVD for Segmentation and Classification of Human Hand Actions. 44-48 - Ghazaleh Aghili, Mehdi Shajari, Shahram Khadivi, Mohammad Amin Morid:
Using Genre Interest of Users to Detect Profile Injection Attacks in Movie Recommender Systems. 49-52 - Diego Campos-Sobrino, Francisco Coral-Sabido, Martha Varguez-Moo, Víctor Uc-Cetina
Mobile Robot Self-Localization Based on Omnidirectional Vision and Gaussian Models. 53-58 - Alev Mutlu, Pinar Senkul
MPI-based Parallelization for ILP-based Multi-relational Concept Discovery. 59-62 - Andre Ribeiro:
A Model of Joint Learning in Poverty: Coordination and Recommendation Systems in Low-Income Communities. 63-67 - Siddharth Gopal, Yiming Yang, Konstantin Salomatin, Jaime G. Carbonell:
Statistical Learning for File-Type Identification. 68-73 - Mohammad Khoshneshin, W. Nick Street, Padmini Srinivasan
Bayesian Embedding of Co-occurrence Data for Query-Based Visualization. 74-79 - Takumi Tanaka, Shin-ichi Maeda, Shin Ishii
Motion Compensated X-ray CT Algorithm for Moving Objects. 80-83 - Till Wohlfarth, Stéphan Clémençon, François Roueff, Xavier Casellato:
A Data-Mining Approach to Travel Price Forecasting. 84-89 - Anthony Theocharis, Matt Pierce, George Tzanetakis:
An Empirical Investigation of Stacking for Music Tag Annotation. 90-95 - Gulsah Tumuklu Ozyer, Fatos T. Yarman-Vural:
An Attention-Based Image Retrieval System. 96-99 - Jeffrey Ellen
Machine Learning for Author Affiliation within Web Forums - Using Statistical Techniques on NLP Features for Online Group Identification. 100-105
Mixture Models
- Thiago F. Covoes, Eduardo R. Hruschka
Splitting and Merging Gaussian Mixture Model Components: An Evolutionary Approach. 106-111 - Yohei Nakada:
An Improved Deterministic Implementation Method for Bayesian Mixture Distributions. 112-117 - Morten Kjærgaard, Enis Bayramoglu, Alessandro Massaro, Kjeld Jensen:
Terrain Mapping and Obstacle Detection Using Gaussian Processes. 118-123 - Jordan Britt, David J. Broderick, David M. Bevly, John Y. Hung:
Dynamic Testing and Calibration of Gaussian Processes for Vehicle Attitude Estimation. 124-128 - Wentao Fan, Nizar Bouguila:
Infinite Dirichlet Mixture Model and Its Application via Variational Bayes. 129-132
Features
- Alberto N. Escalante, Laurenz Wiskott
Heuristic Evaluation of Expansions for Non-linear Hierarchical Slow Feature Analysis. 133-138 - Miao Cheng
Nonparametric Feature Extraction via Direct Maximum Margin Alignment. 139-144 - Malak Alshawabkeh, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli:
Feature Selection Metric Using AUC Margin for Small Samples and Imbalanced Data Classification Problems. 145-150 - Huanjing Wang, Taghi M. Khoshgoftaar, Qianhui Althea Liang:
Stability and Classification Performance of Feature Selection Techniques. 151-156 - Ce Gao, Yixu Song, Peifa Jia:
A Robust Affine Invariant Feature Matching Approach. 157-160 - Takumi Kobayashi, Kenji Watanabe
L0-Regularized Parametric Non-negative Factorization for Analyzing Composite Signals. 161-165 - Sinziana Mazilu, José Iria:
L1 vs. L2 Regularization in Text Classification when Learning from Labeled Features. 166-171 - Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald:
Impact of Noise and Data Sampling on Stability of Feature Selection. 172-177
Pattern Recognition
- R. Mahesh K. Sinha:
Learning Recognition of Ambiguous Proper Names in Hindi. 178-182 - Letizia Marchegiani
The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry's Experiment after Sixty Years. 183-188 - Srikanth R. Madikeri, Hema A. Murthy:
On Convergence of Discriminative Training Algorithm for Speaker Recognition. 189-193 - Abdallah A. Mohamed, Darryl D'Souza, Naouel Baili, Roman V. Yampolskiy:
Avatar Face Recognition Using Wavelet Transform and Hierarchical Multi-scale LBP. 194-199 - Sherif Abdel Azeem, Maha El Meseery:
Arabic Handwriting Recognition Using Concavity Features and Classifier Fusion. 200-203 - Sherif Abdel Azeem, Hany Ahmed:
Recognition of Segmented Online Arabic Handwritten Characters of the ADAB Database. 204-207 - N. Pattabhi Ramaiah, C. Krishna Mohan
De-noising Slap Fingerprint Images for Accurate Slap Fingerprint Segmentation. 208-211 - Andrzej Ruta:
Incremental Compressive Pattern Classification. 212-216 - John Cuzzola, Dragan Gasevic
Fault Detection through Sequential Filtering of Novelty Patterns. 217-222 - Katsuhiko Nakamura, Keita Imada:
Towards Incremental Learning of Mildly Context-Sensitive Grammars. 223-228
Evolution/Iterative Methods and Clustering
- Hisao Ishibuchi
Training Data Subdivision and Periodical Rotation in Hybrid Fuzzy Genetics-Based Machine Learning. 229-234 - Mae L. Seto:
On-line Learning with Evolutionary Algorithms towards Adaptation of Underwater Vehicle Missions to Dynamic Ocean Environments. 235-240 - Shayok Chakraborty, Hemanth Venkateswara
Active Batch Selection for Fuzzy Classification in Facial Expression Recognition. 241-246 - Brian McWilliams, Giovanni Montana:
Predictive Subspace Clustering. 247-252 - Ryouei Takahashi:
Solving the Traveling Salesman Problem through Iterative Extended Changing Crossover Operators. 253-258 - Hoo-Chang Shin, Matthew Orton, David J. Collins, Simon J. Doran, Martin O. Leach:
Autoencoder in Time-Series Analysis for Unsupervised Tissues Characterisation in a Large Unlabelled Medical Image Dataset. 259-264 - Luís Filipe da Cruz Nassif, Eduardo R. Hruschka
Document Clustering for Forensic Computing: An Approach for Improving Computer Inspection. 265-268 - Veronica L. Policicchio, Adriana Pietramala, Pasquale Rullo:
A GA-based Learning Algorithm for Inducing M-of-N-like Text Classifiers. 269-274 - Oliver Kramer:
Dimensionality Reduction by Unsupervised K-Nearest Neighbor Regression. 275-278 - Amr Magdy
Discovering Clusters with Arbitrary Shapes and Densities in Data Streams. 279-282 - Nhien-An Le-Khac
On a Distributed Approach for Density-Based Clustering. 283-286 - Harry Chan-Maestas, Donald A. Sofge:
Tactile Sensor System Processing Based on K-means Clustering. 287-292 - Brian Cheung, Carl Sable:
Hybrid Evolution of Convolutional Networks. 293-297
Neuro-networks and Non-parametric Methods
- Pretesh B. Patel, Tshilidzi Marwala:
Adaptive Neuro Fuzzy Inference System, Neural Network and Support Vector Machine for Caller Behavior Classification. 298-303 - Enis Bayramoglu, Nils A. Andersen
Pre-trained Neural Networks Used for Non-linear State Estimation. 304-310 - Hiroshi Ninomiya:
Robust Training of Multilayer Neural Networks Using Parameterized Online Quasi-Newton Algorithm. 311-316 - Hadrien Glaude, Fadi Akrimi, Matthieu Geist, Olivier Pietquin
A Non-parametric Approach to Approximate Dynamic Programming. 317-322 - Jian Zhang:
Deep Transfer Learning via Restricted Boltzmann Machine for Document Classification. 323-326
SVN and Meta-learning
- Kei Shioda, Shangkun Deng, Akito Sakurai:
Prediction of Foreign Exchange Market States with Support Vector Machine. 327-332 - Anna Caterina Carli, Francesca P. Carli
Nonlinear Transformations of Marginalisation Mappings for Kernels on Hidden Markov Models. 333-338 - Wael Emara, Mehmed M. Kantardzic
Efficient Approximate Semi-supervised Support Vector Machines through Submodular Optimization. 339-345 - Jorge Y. Kanda, André Carlos Ponce de Leon Ferreira de Carvalho
Using Meta-learning to Recommend Meta-heuristics for the Traveling Salesman Problem. 346-351 - Stefano Melacci
Kernel Methods for Minimum Entropy Encoding. 352-357 - Takuya Kitamura, Shigeo Abe
Multiple Nonlinear Subspace Methods Using Subspace-based Support Vector Machines. 358-363
Classification
- Gustavo E. A. P. A. Batista, Yuan Hao, Eamonn J. Keogh, Agenor Mafra-Neto:
Towards Automatic Classification on Flying Insects Using Inexpensive Sensors. 364-369 - Hakan Cevikalp:
Large Margin Classifier Based on Hyperdisks. 370-375 - Guido Cesare, Roberto Manduchi:
The ROC-Boost Design Algorithm for Asymmetric Classification. 376-381 - Juan Ramirez Jr., François G. Meyer
Machine Learning for Seismic Signal Processing: Phase Classification on a Manifold. 382-388 - M. Arif Wani:
Microarray Classification Using Sub-space Grids. 389-394 - Michael Frey, Kyle A. Caudle:
Introducing Flow Field Forecasting. 395-400 - Izumi Suzuki:
A Pattern Classifying System Based on the Coverage Regions of Objects. 401-405 - Sofus A. Macskassy:
Relational Classifiers in a Non-relational World: Using Homophily to Create Relations. 406-411 - Hsiang Hui Lek, Danny C. C. Poo:
An Experimental Study to Investigate the Use of Additional Classifiers to Improve Information Extraction Accuracy. 412-415 - Masahiko Mikawa, Soichi Izumi, Kazuyo Tanaka:
Book Recommendation Signage System Using Silhouette-Based Gait Classification. 416-419 - Asghar Dehghani, Jun Zheng
A New Method to Generate Virtual Samples for Solving Small Sample Set Problems. 420-423
Reinforcement Learning and Hidden Variables
- Mohan Sridharan:
Augmented Reinforcement Learning for Interaction with Non-expert Humans in Agent Domains. 424-429 - Michael Baumann, Hans Kleine Büning:
State Aggregation by Growing Neural Gas for Reinforcement Learning in Continuous State Spaces. 430-435 - Robert Fisher, Reid G. Simmons
Smartphone Interruptibility Using Density-Weighted Uncertainty Sampling with Reinforcement Learning. 436-441 - Soumi Ray, Tim Oates:
Improving the Discovery and Characterization of Hidden Variables by Regularizing the LO-net. 442-447 - Miloslav Richter, Petr Petyovsky, Ondrej Miksik:
Adapting Polynomial Mahalanobis Distance for Self-Supervised Learning in an Outdoor Environment. 448-453 - Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Yuki Komori, Yuuki Iwamoto:
Improvement of Particle Filter for Reinforcement Learning. 454-457 - Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Yuki Komori:
Simple Reinforcement Learning for Small-Memory Agent. 458-461 - Sadamori Koujaku, Kota Watanabe, Hajime Igarashi
Adaptive Profit Sharing Reinforcement Learning Method for Dynamic Environment. 462-465 - Toshiaki Takano, Haruhiko Takase, Hiroharu Kawanaka, Shinji Tsuruoka:
Transfer Method for Reinforcement Learning in Same Transition Model - Quick Approach and Preferential Exploration. 466-469
Optimization
- Kenichi Tamura, Keiichiro Yasuda:
Spiral Multipoint Search for Global Optimization. 470-475 - Rita Chattopadhyay, Shayok Chakraborty, Vineeth Nallure Balasubramanian
Optimization-Based Domain Adaptation towards Person-Adaptive Classification Models. 476-483 - Neha Gupta, Ole-Christoffer Granmo
Thompson Sampling for Dynamic Multi-armed Bandits. 484-489 - Eileen A. Ni, Charles X. Ling:
Learning with Guaranteed Label Quality. 490-495 - Kenji Watanabe
Efficient Optimization of Logistic Regression by Direct Use of Conjugate Gradient. 496-500 - Mingon Kang, Jean Gao, Liping Tang:
Nonlinear RANSAC Optimization for Parameter Estimation with Applications to Phagocyte Transmigration. 501-504
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