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TASLP
2002
109views more  TASLP 2002»
14 years 11 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...
TPLP
2002
99views more  TPLP 2002»
14 years 11 months ago
Using Methods of Declarative Logic Programming for Intelligent Information Agents
At present, the search for specific information on the World Wide Web is faced with several problems, which arise on the one hand from the vast number of information sources avail...
Thomas Eiter, Michael Fink, Giuliana Sabbatini, Ha...
AAAI
2010
14 years 8 months ago
A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra
Some real-world problems are partially decomposable, in that they can be decomposed into a set of coupled subproblems, that are each relatively easy to solve. However, when these ...
Siamak (Moshen) Ravanbakhsh, Barnabás P&oac...
ENTCS
2008
390views more  ENTCS 2008»
14 years 10 months ago
Cryptographic Versus Trust-based Methods for MANET Routing Security
Mobile Ad-hoc Networks (MANETs) allow wireless nodes to form a network without requiring a fixed infrastructure. Early routing protocols for MANETs failed to take security issues ...
Jared Cordasco, Susanne Wetzel
IDA
2010
Springer
14 years 10 months ago
Multi-dimensional data construction method with its application to learning from small-sample-sets
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
Hsiao-Fan Wang, Chun-Jung Huang