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» Information matrix for hidden Markov models with covariates
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ISSADS
2005
Springer
15 years 4 months ago
On the Role of Information Compaction to Intrusion Detection
An intrusion detection system (IDS) usually has to analyse Giga-bytes of audit information. In the case of anomaly IDS, the information is used to build a user profile characteris...
Fernando Godínez, Dieter Hutter, Raul Monro...
NAACL
2004
15 years 6 days ago
Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
We consider the problem of modeling the content structure of texts within a specific domain, in terms of the topics the texts address and the order in which these topics appear. W...
Regina Barzilay, Lillian Lee
CORR
2006
Springer
86views Education» more  CORR 2006»
14 years 11 months ago
Maximum Entropy MIMO Wireless Channel Models
In this contribution, models of wireless channels are derived from the maximum entropy principle, for several cases where only limited information about the propagation environmen...
Maxime Guillaud, Mérouane Debbah, Aris L. M...
UAI
1996
15 years 4 days ago
Asymptotic Model Selection for Directed Networks with Hidden Variables
We extend the Bayesian Information Criterion (BIC), an asymptotic approximation for the marginal likelihood, to Bayesian networks with hidden variables. This approximation can be ...
Dan Geiger, David Heckerman, Christopher Meek
ECML
2005
Springer
15 years 4 months ago
Multi-view Discriminative Sequential Learning
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
Ulf Brefeld, Christoph Büscher, Tobias Scheff...