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IBERAMIA
2010
Springer
15 years 5 months ago
Interaction Graphs for Multivariate Binary Data
We define a class of graphs that summarize in a compact visual way the interaction structure between binary multivariate characteristics. This allows studying the conditional depe...
Johan Van Horentonioeek, Jesús Emeterio Nav...
IJCNN
2006
IEEE
16 years 13 days ago
A Variational EM Approach to Predicting Uncertainty in Supervised Learning
— In many applications of supervised learning, the conditional average of the target variables is not sufficient for prediction. The dependencies between the explanatory variabl...
Markus Harva
DAC
1995
ACM
15 years 10 months ago
Efficient Power Estimation for Highly Correlated Input Streams
- Power estimation in combinational modules is addressed from a probabilistic point of view. The zero-delay hypothesis is considered and under highly correlated input streams, the ...
Radu Marculescu, Diana Marculescu, Massoud Pedram
ECCC
2006
93views more  ECCC 2006»
15 years 6 months ago
On the Deduction Theorem and Complete Disjoint NP-Pairs
In this paper we ask the question whether the extended Frege proof system EF satisfies a weak version of the deduction theorem. We prove that if this is the case, then complete dis...
Olaf Beyersdorff
TSP
2010
15 years 1 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...