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» Selectivity Estimation using Probabilistic Models
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119
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MA
2010
Springer
132views Communications» more  MA 2010»
14 years 11 months ago
Model selection by sequentially normalized least squares
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Jorma Rissanen, Teemu Roos, Petri Myllymäki
92
Voted
ICCD
2005
IEEE
116views Hardware» more  ICCD 2005»
15 years 10 months ago
Enhanced Dual-Transition Probabilistic Power Estimation with Selective Supergate Analysis
Consideration of pairs of transition in probabilistic simulation allows power estimation for digital circuits in which inertial delays can filter glitches [5]. However, the merit ...
Fei Hu, Vishwani D. Agrawal
129
Voted
EDBT
2006
ACM
121views Database» more  EDBT 2006»
16 years 1 months ago
A Decomposition-Based Probabilistic Framework for Estimating the Selectivity of XML Twig Queries
In this paper we present a novel approach for estimating the selectivity of XML twig queries. Such a technique is useful for approximate query answering as well as for determining...
Chao Wang, Srinivasan Parthasarathy, Ruoming Jin
146
Voted

Publication
350views
16 years 1 months ago
Probabilistic Parameter Selection for Learning Scene Structure from Video
We present an online learning approach for robustly combining unreliable observations from a pedestrian detector to estimate the rough 3D scene geometry from video sequences of a...
Michael D. Breitenstein, Eric Sommerlade, Bastian ...
105
Voted
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 7 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh