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TSP
2010
14 years 11 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...
TACAS
2001
Springer
135views Algorithms» more  TACAS 2001»
15 years 9 months ago
Implementing a Multi-valued Symbolic Model Checker
Multi-valued logics support the explicit modeling of uncertainty and disagreement by allowing additional truth values in the logic. Such logics can be used for verification of dyn...
Marsha Chechik, Benet Devereux, Steve M. Easterbro...
JMLR
2012
13 years 7 months ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
ICML
2006
IEEE
16 years 5 months ago
Topic modeling: beyond bag-of-words
Some models of textual corpora employ text generation methods involving n-gram statistics, while others use latent topic variables inferred using the "bag-of-words" assu...
Hanna M. Wallach
128
Voted
CHI
2007
ACM
16 years 4 months ago
A minimal model for predicting visual search in human-computer interaction
Visual search is an important part of human-computer interaction. It is critical that we build theory about how people visually search displays in order to better support the user...
Tim Halverson, Anthony J. Hornof