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ORCID13th MLDM 2017: New York, NY, USA
- Petra Perner:
Machine Learning and Data Mining in Pattern Recognition - 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings. Lecture Notes in Computer Science 10358, Springer 2017, ISBN 978-3-319-62415-0 - Ziyuan Lin, Jaakko Peltonen
:
An Information Retrieval Approach for Finding Dependent Subspaces of Multiple Views. 1-16 - Julio De Melo Borges, Martin Alexander Neumann, Christian Bauer, Yong Ding, Till Riedel, Michael Beigl:
Predicting Target Events in Industrial Domains. 17-31 - Sougata Chaudhuri, Georgios Theocharous, Mohammad Ghavamzadeh:
Importance of Recommendation Policy Space in Addressing Click Sparsity in Personalized Advertisement Display. 32-46 - Georgios Th. Papadopoulos, Petros Daras:
Global Flow and Temporal-Shape Descriptors for Human Action Recognition from 3D Reconstruction Data. 47-62 - Turki Turki, Jason Tsong-Li Wang:
Reverse Engineering Gene Regulatory Networks Using Sampling and Boosting Techniques. 63-77 - Louis Chartrand, Jackie Chi Kit Cheung, Mohamed Bouguessa:
Detecting Large Concept Extensions for Conceptual Analysis. 78-90 - Christophe Dupuy, Francis R. Bach, Christophe Diot:
Qualitative and Descriptive Topic Extraction from Movie Reviews Using LDA. 91-106 - Anit Bhandari, Kiran Rama, Nandini Seth, Nishant Niranjan, Parag Chitalia, Stig Berg:
Towards an Efficient Method of Modeling "Next Best Action" for Digital Buyer's Journey in B2B. 107-116 - Richard Neuberg, Yixin Shi:
Detecting Relative Anomaly. 117-131 - Alexandros Nathan, Diego Klabjan:
Optimization for Large-Scale Machine Learning with Distributed Features and Observations. 132-146 - Yacine Abboud, Anne Boyer, Armelle Brun:
CCPM: A Scalable and Noise-Resistant Closed Contiguous Sequential Patterns Mining Algorithm. 147-162 - Youngha Hwang, Saul B. Gelfand:
Sparse Dynamic Time Warping. 163-175 - Carolina Medeiros Carvalho, Flávio Luiz Seixas, Aura Conci, Débora Christina Muchaluat-Saade, Jerson Laks:
Improving a Bayesian Decision Model for Supporting Diagnosis of Alzheimer's Disease and Related Disorders. 176-191 - Rekar O. Mohammed, Gavin C. Cawley:
Over-Fitting in Model Selection with Gaussian Process Regression. 192-205 - Ahmad Pahlavan Tafti, Eric LaRose, Jonathan C. Badger, Ross Kleiman, Peggy L. Peissig:
Machine Learning-as-a-Service and Its Application to Medical Informatics. 206-219 - Nathaniel Grabaskas, Dong Si:
Anomaly Detection from Kepler Satellite Time-Series Data. 220-232 - Ruth M. Ogunnaike, Dong Si:
Prediction of Insurance Claim Severity Loss Using Regression Models. 233-247 - Francky Fouedjio:
A Spectral Clustering Method for Large-Scale Geostatistical Datasets. 248-261 - Vahid Behzadan, Arslan Munir:
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks. 262-275 - Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev:
Mobile Robot Localization via Machine Learning. 276-290 - Fei Wang, Hector-Hugo Franco-Penya, John D. Kelleher, John Pugh, Robert J. Ross:
An Analysis of the Application of Simplified Silhouette to the Evaluation of k-means Clustering Validity. 291-305 - Dymitr Ruta, Ling Cen, Ernesto Damiani:
Summarization-Guided Greedy Optimization of Machine Learning Model. 306-321 - Goce Ristanoski, Rahul Soni, Sutharshan Rajasegarar, James Bailey, Christopher Leckie:
Clustering Aided Support Vector Machines. 322-334 - Paul Fomenky, Alfred G. Noël, Dan A. Simovici:
Mining Player Ranking Dynamics in Team Sports. 335-344 - Witold Dzwinel, Rafal Wcislo:
ivhd: A Robust Linear-Time and Memory Efficient Method for Visual Exploratory Data Analysis. 345-360 - Xiaobu Yuan, Manpreet Kaler, Vijaya Mulpuri:
Personalized Visualization Based upon Wavelet Transform for Interactive Software Customization. 361-375 - Joseph Antony, Kevin McGuinness, Kieran Moran, Noel E. O'Connor:
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity Using Convolutional Neural Networks. 376-390 - R. Prashanth, K. Deepak, Amit Kumar Meher:
High Accuracy Predictive Modelling for Customer Churn Prediction in Telecom Industry. 391-402 - Arthur Huang, David Ebert, Parker Rider:
You Are What You Tweet: A New Hybrid Model for Sentiment Analysis. 403-416 - Yoshiaki Okubo, Makoto Haraguchi:
Mining Frequent Closed Set Distinguishing One Dataset from Another from a Viewpoint of Structural Index. 417-430 - Olga Krasotkina, Vadim Mottl, Michael Markov, Elena Chernousova, Dmitry Malakhov:
Methods of Hyperparameter Estimation in Time-Varying Regression Models with Application to Dynamic Style Analysis of Investment Portfolios. 431-450
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