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» Dynamic Modeling in Inductive Inference
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COLT
1992
Springer
13 years 12 months ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi
UAI
2008
13 years 9 months ago
Continuous Time Dynamic Topic Models
In this paper, we develop the continuous time dynamic topic model (cDTM). The cDTM is a dynamic topic model that uses Brownian motion to model the latent topics through a sequenti...
Chong Wang, David M. Blei, David Heckerman
PAMI
2006
186views more  PAMI 2006»
13 years 7 months ago
Dynamic Shape and Appearance Models
We propose a model of the joint variation of shape and appearance of portions of an image sequence. The model is conditionally linear, and can be thought of as an extension of acti...
Gianfranco Doretto, Stefano Soatto
BIOCOMP
2006
13 years 9 months ago
Computational Inference of Compound-induced Anti-inflammatory Effects Across Time in an Adjuvant-induced Arthritis Rat Model
A number of diseases, such as arthritis and cardiovascular disorders impacting the lives of many people have strong inflammatory components. To elucidate the antiinflammatory mecha...
Jing Yu, Gabriel Helmlinger, Muriel Saulnier, Anna...
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
13 years 11 months ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba