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POPL
2012
ACM
14 years 2 months ago
A type theory for probability density functions
There has been great interest in creating probabilistic programming languages to simplify the coding of statistical tasks; however, there still does not exist a formal language th...
Sooraj Bhat, Ashish Agarwal, Richard W. Vuduc, Ale...
JMLR
2010
119views more  JMLR 2010»
15 years 1 months ago
The Coding Divergence for Measuring the Complexity of Separating Two Sets
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
Mahito Sugiyama, Akihiro Yamamoto
ISMAR
2009
IEEE
16 years 1 months ago
Online environment model estimation for augmented reality
Augmented reality applications often rely on a detailed environment model to support features such as annotation and occlusion. Usually, such a model is constructed offline, whic...
Jonathan Ventura, Tobias Höllerer
EGOV
2009
Springer
16 years 1 months ago
Refinement, Validation and Benchmarking of a Model for E-Government Service Quality
This paper presents the refinement and validation of a model for Quality of e-Government Services (QeGS). We built upon our previous work where a conceptualized model was identifie...
Babis Magoutas, Gregoris Mentzas
IJCNN
2000
IEEE
15 years 11 months ago
Probabilistic Neural Network Models for Sequential Data
It has already been shown how Artificial Neural Networks (ANNs) can be incorporated into probabilistic models. In this paper we review some of the approaches which have been prop...
Yoshua Bengio