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ENTCS
2010
133views more  ENTCS 2010»
15 years 6 months ago
Towards Measurable Types for Dynamical Process Modeling Languages
Process modeling languages such as "Dynamical Grammars" are highly expressive in the processes they model using stochastic and deterministic dynamical systems, and can b...
Eric Mjolsness
KDD
2010
ACM
326views Data Mining» more  KDD 2010»
15 years 4 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang
CAISE
2005
Springer
16 years 3 days ago
A Meta Model for Process Mining Data
Abstract. Modern process-aware information systems store detailed information about processes as they are being executed. This kind of information can be used for very different p...
Boudewijn F. van Dongen, Wil M. P. van der Aalst
ATAL
2007
Springer
15 years 10 months ago
Modeling plan coordination in multiagent decision processes
In multiagent planning, it is often convenient to view a problem as two subproblems: agent local planning and coordination. Thus, we can classify agent activities into two categor...
Ping Xuan
NIPS
2008
15 years 8 months ago
Local Gaussian Process Regression for Real Time Online Model Learning
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
Duy Nguyen-Tuong, Matthias Seeger, Jan Peters