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TASLP
2002
109views more  TASLP 2002»
15 years 6 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...
TSMC
2002
93views more  TSMC 2002»
15 years 6 months ago
Statistical analysis of the main parameters involved in the design of a genetic algorithm
Abstract--Most genetic algorithm (GA) users adjust the main parameters of the design of a GA (crossover and mutation probability, population size, number of generations, crossover,...
Ignacio Rojas, Jesús González, H&eac...
VLDB
2002
ACM
74views Database» more  VLDB 2002»
15 years 6 months ago
Provisions and Obligations in Policy Management and Security Applications
Policies are widely used in many systems and applications. Recently, it has been recognized that a "yes/no" response to every scenario is just not enough for many modern...
Claudio Bettini, Sushil Jajodia, Xiaoyang Sean Wan...
PUC
2008
113views more  PUC 2008»
15 years 6 months ago
A resource and context model for mobile middleware
Abstract Mobile computing systems should be selfmanaged to simplify operation and maintenance plus meet user's expectation with respect to Quality of Service (QoS). When archi...
Sten Lundesgaard Amundsen, Frank Eliassen
CORR
2010
Springer
107views Education» more  CORR 2010»
15 years 5 months ago
Maximum Betweenness Centrality: Approximability and Tractable Cases
The Maximum Betweenness Centrality problem (MBC) can be defined as follows. Given a graph find a k-element node set C that maximizes the probability of detecting communication be...
Martin Fink, Joachim Spoerhase