336 search results - page 28 / 68 » Approximating Transitivity in Directed Networks |
ICML
2008
IEEE
14 years 11 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
DCOSS
2008
Springer
14 years 20 days ago
2008
Springer
Unlike traditional multihop forwarding among homogeneous static sensor nodes, use of mobile devices for data collection in wireless sensor networks has recently been gathering more...
NN
1997
Springer
14 years 3 months ago
1997
Springer
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...
JUCS
2010
13 years 5 months ago
2010
: We develop and study the concept of dataflow process networks as used for example by Kahn to suit exact computation over data types related to real numbers, such as continuous fu...
INFOCOM
2008
IEEE
14 years 5 months ago
2008
IEEE
—IEEE 802.11 WiFi equipment based wireless mesh networks have recently been proposed as an inexpensive approach to connect far-flung rural areas. Such networks are built using h...