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ORCID9. MLDM 2013: New York, NY, USA
- Petra Perner:
Machine Learning and Data Mining in Pattern Recognition - 9th International Conference, MLDM 2013, New York, NY, USA, July 19-25, 2013. Proceedings. Lecture Notes in Computer Science 7988, Springer 2013, ISBN 978-3-642-39711-0 - Taku Onodera, Tetsuo Shibuya:
The Gapped Spectrum Kernel for Support Vector Machines. 1-15 - Kazuhiro Kohara, Isao Sugiyama:
Typhoon Damage Scale Forecasting with Self-Organizing Maps Trained by Selective Presentation Learning. 16-26 - Michael Scott Brown, Michael J. Pelosi, Henry Dirska:
Dynamic-Radius Species-Conserving Genetic Algorithm for the Financial Forecasting of Dow Jones Index Stocks. 27-41 - Hebah ElGibreen
, Mehmet Sabih Aksoy:
Multi Model Transfer Learning with RULES Family. 42-56 - Carlos Roberto Valêncio, Thatiane Kawabata, Camila Alves de Medeiros, Rogéria Cristiane Gratão de Souza, José Marcio Machado:
3D Geovisualisation Techniques Applied in Spatial Data Mining. 57-68 - Jie Gao, Jörg Denzinger:
Improving the Efficiency of Distributed Data Mining Using an Adjustment Work Flow. 69-83 - César Roberto de Souza, Ednaldo Brigante Pizzolato:
Sign Language Recognition with Support Vector Machines and Hidden Conditional Random Fields: Going from Fingerspelling to Natural Articulated Words. 84-98 - Samrat Kokkula, Narasimha Murty Musti:
Classification and Outlier Detection Based on Topic Based Pattern Synthesis. 99-114 - Manuel Bouillon, Éric Anquetil, Abdullah Almaksour:
Decremental Learning of Evolving Fuzzy Inference Systems: Application to Handwritten Gesture Recognition. 115-129 - Fabio Leonardo Parra, Elizabeth León:
Unsupervised Tagging of Spanish Lyrics Dataset Using Clustering. 130-143 - Sinziana Mazilu, Alberto Calatroni, Eran Gazit, Daniel Roggen, Jeffrey M. Hausdorff, Gerhard Tröster:
Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson's Disease. 144-158 - Sanghoon Lee, Saeid Belkasim, Yanqing Zhang:
Multi-document Text Summarization Using Topic Model and Fuzzy Logic. 159-168 - Moch Arif Bijaksana, Yuefeng Li, Abdulmohsen Algarni:
A Pattern Based Two-Stage Text Classifier. 169-182 - Chuen-Min Huang, Yen-Jia Chang:
Applying a Lightweight Iterative Merging Chinese Segmentation in Web Image Annotation. 183-194 - Aravind Kota Gopalakrishna, Tanir Ozcelebi, Antonio Liotta, Johan J. Lukkien:
Relevance as a Metric for Evaluating Machine Learning Algorithms. 195-208 - Osama Othman, Christopher H. Bryant:
Preceding Rule Induction with Instance Reduction Methods. 209-218 - Carly Stambaugh, Hui Yang, Felix Breuer:
Analytic Feature Selection for Support Vector Machines. 219-233 - Semih Dinç, Ramazan Savas Aygün:
Evaluation of Hyperspectral Image Classification Using Random Forest and Fukunaga-Koontz Transform. 234-245 - Yunus Dogan, Derya Birant, Alp Kut:
SOM++: Integration of Self-Organizing Map and K-Means++ Algorithms. 246-259 - Kwankamon Dittakan, Frans Coenen, Rob M. Christley:
Satellite Image Mining for Census Collection: A Comparative Study with Respect to the Ethiopian Hinterland. 260-274 - Muhammad Syafiq Mohd Pozi, Aida Mustapha, Anas Daud:
Density Ratio Estimation in Support Vector Machine for Better Generalization: Study on Direct Marketing Prediction. 275-280 - Madhav Sigdel, Ramazan Savas Aygün:
Pacc - A Discriminative and Accuracy Correlated Measure for Assessment of Classification Results. 281-295 - Shan Suthaharan:
A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion. 296-310 - Robert Martin Haralick, Ligon Liu, Evan Misshula:
Relation Decomposition: The Theory. 311-324 - Paul K. Amalaman, Christoph F. Eick, Nouhad J. Rizk:
Using Turning Point Detection to Obtain Better Regression Trees. 325-339 - Heidy Marisol Marín-Castro, Víctor Jesús Sosa Sosa, Ivan López-Arévalo, Hugo Jair Escalante Balderas:
Automatic Classification of Web Databases Using Domain-Dictionaries. 340-351 - Wael Zakaria Abd Allah, Yasser Kotb El Sayed, Fayed Fayek Mohamed Ghaleb:
An Efficient and Scalable Algorithm for Mining Maximal - High Confidence Rules from Microarray Dataset. 352-366 - Carlos Takeshi Kudo Yasojima, Matheus Seribeli Furmigare, Fernando de Souza Brasil, Terezinha Ferreira de Oliveira, Antonio Morais da Silveira:
Partial Discharge Analysis and Inspection Alert Generation in High Power Transformers: A Case Study of an Autotransformer Bank at Eletrobrás-ELETRONORTE Vila do Conde Station. 367-378 - Daniel Nikolaev Nikovski, Zhenhua Wang, Alan Esenther, Hongbo Sun, Keisuke Sugiura, Toru Muso, Kaoru Tsuru:
Smart Meter Data Analysis for Power Theft Detection. 379-389 - Juliano Varella de Carvalho, Duncan Dubugras A. Ruiz:
Discovering Frequent Itemsets on Uncertain Data: A Systematic Review. 390-404 - Liyun Li, Nasir D. Memon:
Mining Groups of Common Interest: Discovering Topical Communities with Network Flows. 405-420 - Nandita Sharma, Tom Gedeon:
Optimal Time Segments for Stress Detection. 421-433 - Yeounoh Chung, Hye-Wuk Jung, Jaekwang Kim, Jee-Hyong Lee:
Personalized Expert-Based Recommender System: Training C-SVM for Personalized Expert Identification. 434-441 - Elisavet Chatzilari, Georgios Liaros, Spiros Nikolopoulos, Yiannis Kompatsiaris:
A Comparative Study on Mobile Visual Recognition. 442-457 - Stephanie Sapp, Armand Prieditis:
Accuracy-Based Classification EM: Combining Clustering with Prediction. 458-465 - Armand Prieditis, Moontae Lee:
When Classification becomes a Problem: Using Branch-and-Bound to Improve Classification Efficiency. 466-480 - Armand Prieditis, Stephanie Sapp:
Lazy Overfitting Control. 481-491 - Aleksander Smywinski-Pohl, Bartosz Ziólko:
Using Part of Speech N-Grams for Improving Automatic Speech Recognition of Polish. 492-504 - Robert Kyle Eichelberger, Victor S. Sheng:
An Empirical Study of Reducing Multiclass Classification Methodologies. 505-519 - Michal Vavrecka, Lenka Lhotská:
EEG Feature Selection Based on Time Series Classification. 520-527 - Le Hoai Minh, Le Thi Hoai An, Manh Cuong Nguyen:
DCA Based Algorithms for Feature Selection in Semi-supervised Support Vector Machines. 528-542 - Kari Sentz, François M. Hemez:
Information Gap Analysis for Decision Support Systems in Evidence-Based Medicine. 543-554 - Justin Christopher Martineau, Doreen Cheng, Tim Finin:
TISA: Topic Independence Scoring Algorithm. 555-570 - Rohit Parimi, Doina Caragea:
Pre-release Box-Office Success Prediction for Motion Pictures. 571-585 - Hongjie Zhai, Makoto Haraguchi, Yoshiaki Okubo, Kiyota Hashimoto, Sachio Hirokawa:
Shifting Concepts to Their Associative Concepts via Bridges. 586-600 - Kejia Hu, Alex Sim, Demetres Antoniades, Constantine Dovrolis:
Estimating and Forecasting Network Traffic Performance Based on Statistical Patterns Observed in SNMP Data. 601-615 - Xiang Liu, Liyun Li, Nasir D. Memon:
A Lightweight Combinatorial Approach for Inferring the Ground Truth from Multiple Annotators. 616-628 - Thanh-Nghi Doan, Thanh-Nghi Do, François Poulet:
Large Scale Visual Classification with Many Classes. 629-643 - Sydney Williams, Michael Harris, Jacob Furst, Daniela Stan Raicu:
Area under the Distance Threshold Curve as an Evaluation Measure for Probabilistic Classifiers. 644-657
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