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3DPVT
2006
IEEE
188views Visualization» more  3DPVT 2006»
13 years 12 months ago
Statistical Inference of Biological Structure and Point Spread Functions in 3D Microscopy
We present a novel method for detecting and quantifying 3D structure in stacks of microscopic images captured at incremental focal lengths. We express the image data as stochastic...
Joseph Schlecht, Kobus Barnard, Barry Pryor
LREC
2010
187views Education» more  LREC 2010»
13 years 9 months ago
A Resource for Investigating the Impact of Anaphora and Coreference on Inference
Discourse phenomena play a major role in text processing tasks. However, so far relatively little study has been devoted to the relevance of discourse phenomena for inference. The...
Azad Abad, Luisa Bentivogli, Ido Dagan, Danilo Gia...
CORR
2010
Springer
151views Education» more  CORR 2010»
13 years 8 months ago
On the Convexity of Latent Social Network Inference
In many real-world scenarios, it is nearly impossible to collect explicit social network data. In such cases, whole networks must be inferred from underlying observations. Here, w...
Seth A. Myers, Jure Leskovec
JMLR
2010
93views more  JMLR 2010»
13 years 3 months ago
Sufficient covariates and linear propensity analysis
Working within the decision-theoretic framework for causal inference, we study the properties of "sufficient covariates", which support causal inference from observation...
Hui Guo, A. Philip Dawid
HYBRID
2004
Springer
14 years 1 months ago
Inference Methods for Autonomous Stochastic Linear Hybrid Systems
We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
Hamsa Balakrishnan, Inseok Hwang, Jung Soon Jang, ...