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» Learning Process Models with Missing Data
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WIDM
2012
ACM
13 years 9 months ago
Replaying history on process models for conformance checking and performance analysis
Process mining techniques use event data to discover process models, to check the conformance of predefined process models, and to extend such models with information about bottl...
Wil M. P. van der Aalst, Arya Adriansyah, Boudewij...
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
15 years 10 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
ACML
2009
Springer
15 years 8 months ago
Injecting Structured Data to Generative Topic Model in Enterprise Settings
Enterprises have accumulated both structured and unstructured data steadily as computing resources improve. However, previous research on enterprise data mining often treats these ...
Han Xiao, Xiaojie Wang, Chao Du
JMLR
2012
13 years 3 months ago
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M....
RSS
2007
159views Robotics» more  RSS 2007»
15 years 2 months ago
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
Christian Plagemann, Kristian Kersting, Patrick Pf...