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151
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JMLR
2010
173views more  JMLR 2010»
14 years 9 months ago
Elliptical slice sampling
Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mo...
Iain Murray, Ryan Prescott Adams, David J. C. MacK...
136
Voted
TWC
2010
14 years 9 months ago
Performance of an Energy Detector over Channels with Both Multipath Fading and Shadowing
This paper analyzes the performance of an energy detector over wireless channels with composite multipath fading and shadowing effects. These effects are modeled by using the and ...
Saman Atapattu, Chintha Tellambura, Hai Jiang
124
Voted
TOIS
2010
128views more  TOIS 2010»
15 years 28 days ago
Learning author-topic models from text corpora
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L...
AMAI
2004
Springer
15 years 8 months ago
Bayesian Model Averaging Across Model Spaces via Compact Encoding
Bayesian Model Averaging (BMA) is well known for improving predictive accuracy by averaging inferences over all models in the model space. However, Markov chain Monte Carlo (MCMC)...
Ke Yin, Ian Davidson
262
Voted
SMA
2011
ACM
265views Solid Modeling» more  SMA 2011»
14 years 9 months ago
Modeling individual migraine severity with autoregressive ordered probit models
This paper considers the problem of modeling migraine severity assessments and their dependence on weather and time characteristics. We take on the viewpoint of a patient who is i...
Claudia Czado, Anette Heyn, Gernot Müller