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CAISE
2006
Springer
15 years 6 months ago
Incremental Workflow Mining for Process Flexibility
Abstract. Incremental workflow mining is a technique for automatically deriving a process model from the on-going executions of a process. This way, the process model becomes more ...
Ekkart Kindler, Vladimir Rubin, Wilhelm Schäf...
ICASSP
2010
IEEE
15 years 5 months ago
Variational nonparametric Bayesian Hidden Markov Model
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
Nan Ding, Zhijian Ou
UAI
1998
15 years 6 months ago
Tractable Inference for Complex Stochastic Processes
The monitoring and control of any dynamic system depends crucially on the ability to reason about its current status and its future trajectory. In the case of a stochastic system,...
Xavier Boyen, Daphne Koller
STOC
1997
ACM
111views Algorithms» more  STOC 1997»
15 years 9 months ago
The Swendsen-Wang Process Does Not Always Mix Rapidly
The Swendsen-Wang process provides one possible dynamics for the Qstate Potts model in statistical physics. Computer simulations of this process are widely used to estimate the ex...
Vivek Gore, Mark Jerrum
TSP
2008
134views more  TSP 2008»
15 years 4 months ago
MIMO Instantaneous Blind Identification Based on Second-Order Temporal Structure
Blind identification is of paramount importance for well-known signal processing problems such as Blind Signal Separation and Direction Of Arrival (DOA) estimation. This paper pre...
Jakob van de Laar, Marc Moonen, Piet C. W. Sommen