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ICASSP
2011
IEEE
14 years 10 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
ISCAS
2002
IEEE
121views Hardware» more  ISCAS 2002»
15 years 11 months ago
Analog filter adaptation using a dithered linear search algorithm
A variation of the differential steepest descent algorithm, here called the dithered linear search (DLS), is examined and applied to analog filter adaptation. The DLS algorithm is...
Anthony Chan Carusone, David A. Johns
IPPS
2009
IEEE
16 years 28 days ago
A fusion-based approach for tolerating faults in finite state machines
Given a set of n different deterministic finite state machines (DFSMs) modeling a distributed system, we examine the problem of tolerating f crash or Byzantine faults in such a ...
Vinit A. Ogale, Bharath Balasubramanian, Vijay K. ...
JOT
2007
94views more  JOT 2007»
15 years 6 months ago
A Typing Scheme for Behavioural Models
State machines can be used to specify the behaviour of objects in a system by describing the relationships between the states of the object and its ability to respond to events pr...
Ashley T. McNeile, Nicholas Simons
WSC
2000
15 years 7 months ago
System dynamics modelling in supply chain management: research review
The use of System Dynamics Modeling in Supply Chain Management has only recently re-emerged after a lengthy slack period. Current research on System Dynamics Modelling in supply c...
Bernhard J. Angerhofer, Marios C. Angelides