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» Marginals of DAG-Isomorphic Independence Models
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IJCAI
2007
13 years 9 months ago
Collapsed Variational Dirichlet Process Mixture Models
Nonparametric Bayesian mixture models, in particular Dirichlet process (DP) mixture models, have shown great promise for density estimation and data clustering. Given the size of ...
Kenichi Kurihara, Max Welling, Yee Whye Teh
ICML
2005
IEEE
14 years 8 months ago
Naive Bayes models for probability estimation
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
Daniel Lowd, Pedro Domingos
ICCAD
1993
IEEE
100views Hardware» more  ICCAD 1993»
13 years 11 months ago
Macromodeling of the A.C. characteristics of CMOS Op-amps
An analytical-knowledge-based statistical method is developed to derive macromodels for the highly nonlinear A.C. response functions of CMOS Op-amp circuits. Simple circuit analys...
Pradip Mandal, V. Visvanathan
ICPR
2008
IEEE
14 years 1 months ago
Deformable template combining alignable and non-alignable sketches
This paper proposes a hybrid model for deformable template which combines alignable and non-alignable sketches. These sketches are subject to slight or considerable translations i...
Linjie Zhang, Haifeng Gong, Tianfu Wu, Junyu Dong
UAI
2003
13 years 8 months ago
On Information Regularization
We formulate a principle for classification with the knowledge of the marginal distribution over the data points (unlabeled data). The principle is cast in terms of Tikhonov styl...
Adrian Corduneanu, Tommi Jaakkola