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ICML
2007
IEEE
14 years 9 months ago
Regression on manifolds using kernel dimension reduction
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
Jens Nilsson, Fei Sha, Michael I. Jordan
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
14 years 8 months ago
Predicting customer shopping lists from point-of-sale purchase data
This paper describes a prototype that predicts the shopping lists for customers in a retail store. The shopping list prediction is one aspect of a larger system we have developed ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
IDTRUST
2010
ACM
14 years 3 months ago
Computational techniques for increasing PKI policy comprehension by human analysts
Natural-language policies found in X.509 PKI describe an organization’s stated policy as a set of requirements for trust. The widespread use of X.509 underscores the importance ...
Gabriel A. Weaver, Scott A. Rea, Sean W. Smith
NIPS
2008
13 years 10 months ago
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
Guangzhi Cao, Charles A. Bouman
ENTCS
2006
163views more  ENTCS 2006»
13 years 8 months ago
Design Challenges for a Differential-Power-Analysis Aware GALS-based AES Crypto ASIC
In recent years several successful GALS realizations have been presented. The core of a GALS system is a locally synchronous island that is designed using industry standard synchr...
Frank K. Gürkaynak, Stephan Oetiker, Hubert K...