30 search results - page 4 / 6 » Adaptive Markov Logic Networks: Learning Statistical Relatio... |
HSNMC
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. Performance of real-time applications on network communication channels are strongly related to losses and temporal delays. Several studies showed that these network feat...
ECCB
2003
IEEE
13 years 11 months ago
2003
IEEE
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
KDD
2009
ACM
14 years 16 days ago
2009
ACM
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
WWW
2009
ACM
14 years 17 days ago
2009
ACM
Traditional relation extraction methods require pre-specified relations and relation-specific human-tagged examples. Bootstrapping systems significantly reduce the number of tr...
TCOM
2010
13 years 4 months ago
2010
Abstract—This paper considers an uplink time division multiple access (TDMA) cognitive radio network where multiple cognitive radios (secondary users) attempt to access a spect...