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126
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COORDINATION
2008
Springer
15 years 5 months ago
Formal Analysis of BPMN Via a Translation into COWS
A translation of the Business Process Modeling Notation into the process calculus COWS is presented. The stochastic extension of COWS is then exploited to address quantitative reas...
Davide Prandi, Paola Quaglia, Nicola Zannone
JMLR
2010
160views more  JMLR 2010»
14 years 10 months ago
Neural conditional random fields
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
Trinh Minh Tri Do, Thierry Artières
122
Voted
ICMLA
2009
15 years 1 months ago
Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
Johannes Hartz
162
Voted
ACL
1990
15 years 4 months ago
Computational Structure of Generative Phonology and its Relation to Language Comprehension
We analyse the computational complexity of phonological models as they have developed over the past twenty years. The major results ate that generation and recognition are undecid...
Eric Sven Ristad
160
Voted
UAI
2007
15 years 4 months ago
A System for Ontologically-Grounded Probabilistic Matching
This paper is part of a project to match descriptions of real-world instances and probabilistic models, both of which can be described at mulvel of abstraction and detail. We use ...
Rita Sharma, David Poole, Clinton Smyth