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ICML
2010
IEEE
15 years 4 months ago
Approximate Predictive Representations of Partially Observable Systems
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
Monica Dinculescu, Doina Precup
DMIN
2006
125views Data Mining» more  DMIN 2006»
15 years 8 months ago
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Jianjie Ma, Krishnamoorthy Sivakumar
CIKM
2008
Springer
15 years 8 months ago
Ranking information resources in peer-to-peer text retrieval: an experimental study
This paper experimentally studies approaches to the problem of ranking information resources w.r.t. user queries in peer-to-peer information retrieval. In distributed environments...
Hans F. Witschel
MKM
2009
Springer
16 years 1 months ago
Natural Deduction Environment for Matita
Abstract. Matita is a proof assistant characterised by a rich, user extensible, output facility based on a widget for the rendering of MathML Presentation, and by the automatic han...
Claudio Sacerdoti Coen, Enrico Tassi
ATAL
2004
Springer
15 years 12 months ago
Identifying Human Interactions in Indoor Environments
A laser range-finder-based system for detecting interactions between people in indoor environments is presented. An entropy-based measure is used to recursively segment tracks of...
Anand Panangadan, Maja J. Mataric, Gaurav S. Sukha...