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» Marginals of DAG-Isomorphic Independence Models
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NIPS
2003
14 years 10 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»
14 years 9 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»
15 years 6 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
14 years 11 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
15 years 10 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