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» Algebraic Statistics in Model Selection
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NIPS
1994
13 years 8 months ago
Active Learning with Statistical Models
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...
ICCV
2011
IEEE
12 years 7 months ago
Robust Object Pose Estimation via Statistical Manifold Modeling
We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video sequences by simultaneously minimizing the intra-cla...
Liang Mei, Jingen Liu, Alfred Hero, Silvio Savares...
TIT
2002
63views more  TIT 2002»
13 years 7 months ago
Fibonacci and Galois representations of feedback-with-carry shift registers
Feedback with carry shift registers (FCSRs) are a class of finite state devices that are similar to linear feedback shift registers (LFSRs) in their simplicity and statistical ran...
Mark Goresky, Andrew Klapper
GISCIENCE
2004
Springer
136views GIS» more  GISCIENCE 2004»
14 years 26 days ago
Simplifying Sets of Events by Selecting Temporal Relations
Reasoning about events or temporal aspects is fundamental for modeling geographic phenomena. This work concerns the analysis of events as configurations of temporal intervals. It...
Andrea Rodríguez, Nico Van de Weghe, Philip...
FSKD
2007
Springer
126views Fuzzy Logic» more  FSKD 2007»
14 years 1 months ago
Rough Set Model Selection for Practical Decision Making
One of the challenges a decision maker faces is choosing a suitable rough set model to use for data analysis. The traditional algebraic rough set model classifies objects into th...
Joseph P. Herbert, Jingtao Yao