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COLT
1992
Springer
15 years 3 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
ICLP
2007
Springer
15 years 3 months ago
User-Definable Resource Bounds Analysis for Logic Programs
We present a static analysis that infers both upper and lower bounds on the usage that a logic program makes of a set of user-definable resources. The inferred bounds will in gener...
Jorge Navas, Edison Mera, Pedro López-Garc&...
IJCV
2008
281views more  IJCV 2008»
14 years 11 months ago
Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts
Abstract This paper presents a novel algorithm for performing integrated segmentation and 3D pose estimation of a human body from multiple views. Unlike other state of the art meth...
Pushmeet Kohli, Jonathan Rihan, Matthieu Bray, Phi...
COGSCI
2007
99views more  COGSCI 2007»
14 years 11 months ago
Language Evolution by Iterated Learning With Bayesian Agents
Languages are transmitted from person to person and generation to generation via a process of iterated learning: people learn a language from other people who once learned that la...
Thomas L. Griffiths, Michael L. Kalish
PKDD
2010
Springer
162views Data Mining» more  PKDD 2010»
14 years 10 months ago
Expectation Propagation for Bayesian Multi-task Feature Selection
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
Daniel Hernández-Lobato, José Miguel...