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RSFDGRC
2005
Springer
208views Data Mining» more  RSFDGRC 2005»
14 years 1 months ago
On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks
Abstract. In this paper, we revisit the consensus of computational complexity on exact inference in Bayesian networks. We point out that even in singly connected Bayesian networks,...
Dan Wu, Cory J. Butz
ICSE
1997
IEEE-ACM
14 years 10 days ago
Lackwit: A Program Understanding Tool Based on Type Inference
By determining, statically, where the structure of a program requires sets of variables to share a common tation, we can identify abstract data types, detect ion violations, find ...
Robert O'Callahan, Daniel Jackson
AUSAI
2006
Springer
13 years 12 months ago
Modular Bayesian Networks for Inferring Landmarks on Mobile Daily Life
Abstract. Mobile devices get to handle much information thanks to the convergence of diverse functionalities. Their environment has great potential of supporting customized service...
Keum-Sung Hwang, Sung-Bae Cho
IJCAI
1997
13 years 9 months ago
Structural Inferences from Massive Datasets
High-level understanding of data must involve the interplay between substantial prior knowledge with geometric and statistical techniques. Our approach emphasizes the recovery of ...
Kenneth Yip
KDD
2003
ACM
144views Data Mining» more  KDD 2003»
14 years 8 months ago
Clinical and financial outcomes analysis with existing hospital patient records
Existing patient records are a valuable resource for automated outcomes analysis and knowledge discovery. However, key clinical data in these records is typically recorded in unst...
R. Bharat Rao, Sathyakama Sandilya, Radu Stefan Ni...