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» Marginals of DAG-Isomorphic Independence Models
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NIPS
2003
13 years 8 months ago
Kernel Dimensionality Reduction for Supervised Learning
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
IJAR
2008
90views more  IJAR 2008»
13 years 7 months ago
The Dempster-Shafer calculus for statisticians
The Dempster-Shafer (DS) theory of probabilistic reasoning is presented in terms of a semantics whereby every meaningful formal assertion is associated with a triple (p, q, r) whe...
Arthur P. Dempster
ICCAD
2005
IEEE
100views Hardware» more  ICCAD 2005»
14 years 4 months ago
Performance-centering optimization for system-level analog design exploration
In this paper we propose a novel analog design optimization methodology to address two key aspects of top-down system-level design: (1) how to optimally compare and select analog ...
Xin Li, Jian Wang, Lawrence T. Pileggi, Tun-Shih C...
FLAIRS
2007
13 years 9 months ago
A Decision Theoretic View on Choosing Heuristics for Discovery of Graphical Models
Discovery of graphical models is NP-hard in general, which justifies using heuristics. We consider four commonly used heuristics. We summarize the underlying assumptions and anal...
Yang Xiang
ICML
2007
IEEE
14 years 8 months ago
Multifactor Gaussian process models for style-content separation
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
Jack M. Wang, David J. Fleet, Aaron Hertzmann