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» Dynamic Modeling in Inductive Inference
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NAACL
2010
13 years 5 months ago
Inducing Synchronous Grammars with Slice Sampling
This paper describes an efficient sampler for synchronous grammar induction under a nonparametric Bayesian prior. Inspired by ideas from slice sampling, our sampler is able to dra...
Phil Blunsom, Trevor Cohn
ECCB
2003
IEEE
14 years 1 months ago
Gene networks inference using dynamic Bayesian networks
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
Bruno-Edouard Perrin, Liva Ralaivola, Aurél...
BMCBI
2010
229views more  BMCBI 2010»
13 years 8 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
IVA
2009
Springer
14 years 2 months ago
Predicting User Psychological Characteristics from Interactions with Empathetic Virtual Agents
Enabling virtual agents to quickly and accurately infer users’ psychological characteristics such as their personality could support a broad range of applications in education, t...
Jennifer L. Robison, Jonathan P. Rowe, Scott W. Mc...
FLAIRS
2010
13 years 10 months ago
Commonsense Inference in Dynamic Spatial Systems: Epistemological Requirements
We demonstrate the role of commonsense inference toward the modeling of qualitative notions of space and spatial change within a dynamic setup. The inference patterns are connecte...
Mehul Bhatt