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IJCAI
2003
13 years 11 months ago
A General Model for Online Probabilistic Plan Recognition
We present a new general framework for online istic plan recognition called the Abstract Hidden Markov Memory Model (AHMEM). The l is an extension of the existing Abstract Hidden ...
Hung Hai Bui
ICML
2004
IEEE
14 years 10 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 ...
ICA
2010
Springer
13 years 10 months ago
Probabilistic Latent Tensor Factorization
We develop a probabilistic modeling framework for multiway arrays. Our framework exploits the link between graphical models and tensor factorization models and it can realize any ...
Y. Kenan Yilmaz, A. Taylan Cemgil
EDBT
2010
ACM
177views Database» more  EDBT 2010»
14 years 4 months ago
Bridging the gap between intensional and extensional query evaluation in probabilistic databases
There are two broad approaches to query evaluation over probabilistic databases: (1) Intensional Methods proceed by manipulating expressions over symbolic events associated with u...
Abhay Jha, Dan Olteanu, Dan Suciu
UAI
1998
13 years 11 months ago
Incremental Tradeoff Resolution in Qualitative Probabilistic Networks
Qualitativeprobabilistic reasoningin a Bayesiannetworkoften reveals tradeoffs: relationships that are ambiguousdue to competingqualitative influences. Wepresent twotechniquesthat ...
Chao-Lin Liu, Michael P. Wellman