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» Conditioning Probabilistic Databases
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IJCNN
2008
IEEE
14 years 5 months ago
A comparison of bayesian and conditional density models in probabilistic ozone forecasting
— Probabilistic models were developed to provide predictive distributions of daily maximum surface level ozone concentrations. Five forecast models were compared at two stations ...
Song Cai, William W. Hsieh, Alex J. Cannon
TDSC
2008
83views more  TDSC 2008»
13 years 10 months ago
A Precise Termination Condition of the Probabilistic Packet Marking Algorithm
The probabilistic packet marking (PPM) algorithm is a promising way to discover the Internet map or an attack graph that the attack packets traversed during a distributed denial-of...
T. Y. Wong, Man Hon Wong, John C. S. Lui
ICML
2004
IEEE
14 years 11 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
JMLR
2010
160views more  JMLR 2010»
13 years 5 months ago
Neural conditional random fields
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
Trinh Minh Tri Do, Thierry Artières