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» Process Diagnostics: A Method Based on Process Mining
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ICML
2007
IEEE
16 years 5 months ago
Multi-task learning for sequential data via iHMMs and the nested Dirichlet process
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
Kai Ni, Lawrence Carin, David B. Dunson
ACCV
2006
Springer
15 years 10 months ago
Boosted Algorithms for Visual Object Detection on Graphics Processing Units
Nowadays, the use of machine learning methods for visual object detection has become widespread. Those methods are robust. They require an important processing power and a high mem...
Hicham Ghorayeb, Bruno Steux, Claude Laurgeau
FMCAD
2000
Springer
15 years 8 months ago
Automated Refinement Checking for Asynchronous Processes
Abstract. We consider the problem of refinement checking for asynchronous processes where refinement corresponds to stutter-closed language inclusion. Since an efficient algorithmi...
Rajeev Alur, Radu Grosu, Bow-Yaw Wang
NAACL
2007
15 years 6 months ago
Unsupervised Natural Language Processing Using Graph Models
In the past, NLP has always been based on the explicit or implicit use of linguistic knowledge. In classical computer linguistic applications explicit rule based approaches prevai...
Chris Biemann
AAAI
2006
15 years 5 months ago
Hard Constrained Semi-Markov Decision Processes
In multiple criteria Markov Decision Processes (MDP) where multiple costs are incurred at every decision point, current methods solve them by minimising the expected primary cost ...
Wai-Leong Yeow, Chen-Khong Tham, Wai-Choong Wong