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HUC
2004
Springer
14 years 22 days ago
Particle Filters for Location Estimation in Ubiquitous Computing: A Case Study
Location estimation is an important part of many ubiquitous computing systems. Particle filters are simulation-based probabilistic approximations which the robotics community has ...
Jeffrey Hightower, Gaetano Borriello
ML
2012
ACM
388views Machine Learning» more  ML 2012»
12 years 2 months ago
Statistical analysis of kernel-based least-squares density-ratio estimation
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama
ECML
2003
Springer
14 years 17 days ago
Optimizing Local Probability Models for Statistical Parsing
Abstract. This paper studies the properties and performance of models for estimating local probability distributions which are used as components of larger probabilistic systems ...
Kristina Toutanova, Mark Mitchell, Christopher D. ...
ICASSP
2011
IEEE
12 years 11 months ago
Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Cornelia Vacar, Jean-François Giovannelli, ...
HICSS
2012
IEEE
260views Biometrics» more  HICSS 2012»
12 years 3 months ago
Effort Estimates for Vulnerability Discovery Projects
Security vulnerabilities continue to be an issue in the software field and new severe vulnerabilities are discovered in software products each month. This paper analyzes estimates...
Teodor Sommestad, Hannes Holm, Mathias Ekstedt