1888 search results - page 102 / 378 » The Learning Power of Evolution |
136
Voted
EVOW
2009
Springer
15 years 10 months ago
2009
Springer
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
146
Voted
JSAC
2007
15 years 3 months ago
2007
— One of the distinctive features in a wireless ad hoc network is lack of any central controller or single point of authority, in which each node/link then makes its own decision...
135
Voted
UAI
2003
15 years 5 months ago
2003
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
180
Voted
TFS
2008
15 years 3 months ago
2008
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
139
Voted
ATAL
2009
Springer
15 years 1 months ago
2009
Springer
Today's society is largely connected and many real life applications lend themselves to be modeled as multi-agent systems. Although such systems as well as their models are d...