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IROS
2008
IEEE
211views Robotics» more  IROS 2008»
16 years 19 days ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
QEST
2008
IEEE
16 years 18 days ago
CaVi -- Simulation and Model Checking for Wireless Sensor Networks
CaVi provides a uniform interface to state-of-the-art simulation methods and formal verification methods for wireless sensor network. Simulation is suitable to examine the behavi...
Athanassios Boulis, Ansgar Fehnker, Matthias Fruth...
IEEEARES
2006
IEEE
16 years 8 days ago
Towards a Stochastic Model for Integrated Security and Dependability Evaluation
We present a new approach to integrated security and dependability evaluation, which is based on stochastic modelling techniques. Our proposal aims to provide operational measures...
Karin Sallhammar, Bjarne E. Helvik, Svein J. Knaps...
NLPRS
2001
Springer
15 years 10 months ago
A Maximum Entropy Tagger with Unsupervised Hidden Markov Models
We describe a new tagging model where the states of a hidden Markov model (HMM) estimated by unsupervised learning are incorporated as the features in a maximum entropy model. Our...
Jun'ichi Kazama, Yusuke Miyao, Jun-ichi Tsujii
EMNLP
2007
15 years 7 months ago
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
Ivan Titov, James Henderson