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» Incremental Construction of Structured Hidden Markov Models
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DICS
2006
14 years 21 days ago
Definition and Correct Refinement of Operation Specifications
Abstract. Modern incremental and iterative software engineering processes advocate to build software systems by first creating a highly simpliabstract model of the system which is ...
Thomas Baar, Slavisa Markovic, Frédé...
KDD
2004
ACM
127views Data Mining» more  KDD 2004»
14 years 11 months ago
A generative probabilistic approach to visualizing sets of symbolic sequences
There is a notable interest in extending probabilistic generative modeling principles to accommodate for more complex structured data types. In this paper we develop a generative ...
Peter Tiño, Ata Kabán, Yi Sun
NN
1997
Springer
174views Neural Networks» more  NN 1997»
14 years 2 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
NAR
2006
82views more  NAR 2006»
13 years 10 months ago
PROFtmb: a web server for predicting bacterial transmembrane beta barrel proteins
PROFtmb predicts transmembrane beta-barrel (TMB) proteins in Gram-negative bacteria. For each query protein, PROFtmb provides both a Z-value indicating that the protein actually c...
Henry R. Bigelow, Burkhard Rost
CORR
2011
Springer
191views Education» more  CORR 2011»
13 years 5 months ago
A Message-Passing Receiver for BICM-OFDM over Unknown Clustered-Sparse Channels
We propose a factor-graph-based approach to joint channel-estimationand-decoding of bit-interleaved coded orthogonal frequency division multiplexing (BICM-OFDM). In contrast to ex...
Philip Schniter