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AAAI
2012
13 years 3 months ago
Discovering Constraints for Inductive Process Modeling
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
Ljupco Todorovski, Will Bridewell, Pat Langley
105
Voted
MDM
2004
Springer
158views Communications» more  MDM 2004»
15 years 6 months ago
Semantic Location Modeling for Location Navigation in Mobile Environment
Location-based applications require a well-formed representation of spatial knowledge. Current location models can be classified into symbolic or geometric models. The former att...
Haibo Hu, Dik Lun Lee
116
Voted
WSC
1997
15 years 2 months ago
Business Process Modeling with SIMPROCESS
This paper gives an overview of business process modeling with SIMPROCESS, its applications, unique features, basic and advanced modeling constructs, and benefits. 1 WHAT IS SIMPR...
Scott Swegles
104
Voted
ICML
2009
IEEE
16 years 1 months ago
Factored conditional restricted Boltzmann Machines for modeling motion style
The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits simple, exact inference. We ...
Graham W. Taylor, Geoffrey E. Hinton
103
Voted
DATAMINE
2006
83views more  DATAMINE 2006»
15 years 24 days ago
Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs
Standard hidden Markov models (HMM's) have been studied extensively in the last two decades. It is well known that these models assume state conditional independence of the ob...
Djamel Bouchaffra, Jun Tan