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ICML
2008
IEEE
16 years 4 months ago
Modeling interleaved hidden processes
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
Niels Landwehr
136
Voted
LATA
2010
Springer
15 years 9 months ago
Extending Stochastic Context-Free Grammars for an Application in Bioinformatics
We extend stochastic context-free grammars such that the probability of applying a production can depend on the length of the subword that is generated from the application and sho...
Frank Weinberg, Markus E. Nebel
ILP
2007
Springer
15 years 9 months ago
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
Mark Goadrich, Jude W. Shavlik
IJCNN
2006
IEEE
15 years 9 months ago
Complex Systems Modeling Using Scale-Free Highly-Clustered Echo State Network
— Inspired by the universal laws governing different kinds of complex networks, we propose a scale-free highlyclustered echo state network (SHESN). Different from echo state netw...
Zhidong Deng, Yi Zhang
122
Voted
IPPS
2006
IEEE
15 years 9 months ago
The monitoring request interface (MRI)
In this paper we present MRI, a high level interface for selective monitoring of code regions and data structures in single and multiprocessor environments. MRI keeps transparent ...
Edmond Kereku, Michael Gerndt