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TIT
2008
118views more  TIT 2008»
13 years 8 months ago
Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statisti
Abstract--Discrete-input two-dimensional (2-D) Gaussian channels with memory represent an important class of systems, which appears extensively in communications and storage. In sp...
Ori Shental, Noam Shental, Shlomo Shamai, Ido Kant...
CHI
2011
ACM
13 years 1 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
CORR
2008
Springer
64views Education» more  CORR 2008»
13 years 10 months ago
Implementing general belief function framework with a practical codification for low complexity
In this chapter, we propose a new practical codification of the elements of the Venn diagram in order to easily manipulate the focal elements. In order to reduce the complexity, t...
Arnaud Martin
ICCS
2007
Springer
14 years 1 months ago
Belief Flow in Assertion Networks
We define an abstract model of belief propagation on a graph based on the methodology of the revision theory of truth together with the Assertion Network Toolkit, a graphical inter...
Sujata Ghosh, Benedikt Löwe, Erik Scorelle
CP
2009
Springer
14 years 10 months ago
Propagator Groups
This paper introduces propagator groups as an abstraction for controlling the execution of propagators as implementations of constraints. Propagator groups enable users of a constr...
Mikael Z. Lagerkvist, Christian Schulte