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» Selectivity Estimation using Probabilistic Models
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SSDBM
2010
IEEE
188views Database» more  SSDBM 2010»
15 years 5 months ago
Similarity Estimation Using Bayes Ensembles
Similarity search and data mining often rely on distance or similarity functions in order to provide meaningful results and semantically meaningful patterns. However, standard dist...
Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Mat...
ESANN
2008
15 years 1 months ago
A multiple testing procedure for input variable selection in neural networks
In this paper a novel procedure to select the input nodes in neural network modeling is presented and discussed. The approach is developed in a multiple testing framework and so it...
Michele La Rocca, Cira Perna
DAC
1997
ACM
15 years 4 months ago
Sequence Compaction for Probabilistic Analysis of Finite-State Machines
- The objective of this paper is to provide an effective technique for accurate modeling of the external input sequences that affect the behavior of Finite State Machines (FSMs). T...
Diana Marculescu, Radu Marculescu, Massoud Pedram
FGR
2008
IEEE
135views Biometrics» more  FGR 2008»
15 years 6 months ago
Generalized adaptive view-based appearance model: Integrated framework for monocular head pose estimation
Accurately estimating the person’s head position and orientation is an important task for a wide range of applications such as driver awareness and human-robot interaction. Over...
Louis-Philippe Morency, Jacob Whitehill, Javier R....
CEC
2009
IEEE
15 years 6 months ago
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...