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» Representing Systems with Hidden State
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114
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ADVIS
2004
Springer
15 years 8 months ago
Temporality in Databases
Research in temporal database management has suggested that the Entity-Relationship (E-R) model lacks appropriate constructs for representing the dynamic nature of the real world....
Abdullah Uz Tansel
APN
2007
Springer
15 years 10 months ago
The ComBack Method - Extending Hash Compaction with Backtracking
This paper presents the ComBack method for explicit state space exploration. The ComBack method extends the well-known hash compaction method such that full coverage of the state s...
Michael Westergaard, Lars Michael Kristensen, Gert...
139
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CSL
2010
Springer
15 years 4 months ago
Speech separation using speaker-adapted eigenvoice speech models
We present a system for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a priori. The sources are mo...
Ron J. Weiss, Daniel P. W. Ellis
AAAI
2011
14 years 4 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
COLING
2008
15 years 6 months ago
A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus
We propose a hybrid generative/discriminative framework for semantic parsing which combines the hidden vector state (HVS) model and the hidden Markov support vector machines (HMSV...
Deyu Zhou, Yulan He