248 search results - page 33 / 50 » Learning the Structure of Dynamic Probabilistic Networks |
NN
2002
Springer
13 years 7 months ago
2002
Springer
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
ADHOCNOW
2004
Springer
14 years 1 months ago
2004
Springer
Many ad hoc routing algorithms rely on broadcast flooding for location discovery or more generally for secure routing applications, particularly when dealing with Byzantine threat...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Link prediction is a fundamental problem in social network analysis and modern-day commercial applications such as Facebook and Myspace. Most existing research approaches this pro...
KI
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
NIPS
1996
13 years 9 months ago
1996
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...