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» Models for Incomplete and Probabilistic Information
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CDC
2010
IEEE
106views Control Systems» more  CDC 2010»
14 years 11 months ago
Observational learning in an uncertain world
We study a model of observational learning in social networks in the presence of uncertainty about agents' type distributions. Each individual receives a private noisy signal ...
Daron Acemoglu, Munther A. Dahleh, Asuman E. Ozdag...
ICRA
2005
IEEE
143views Robotics» more  ICRA 2005»
15 years 10 months ago
Cooperative Multi-Robot Systems A study of Vision-based 3-D Mapping using Information Theory
Building cooperatively 3-D maps of unknown environments is one of the application fields of multi-robot systems. This article addressesthatproblemthroughaprobabilisticapproachbas...
Rui Rocha, Jorge Dias, Adriano Carvalho
ASUNAM
2011
IEEE
14 years 4 months ago
Multi-relational Link Prediction in Heterogeneous Information Networks
Abstract—Many important real-world systems, modeled naturally as complex networks, have heterogeneous interactions and complicated dependency structures. Link prediction in such ...
Darcy A. Davis, Ryan Lichtenwalter, Nitesh V. Chaw...
PERCOM
2008
ACM
16 years 4 months ago
Information Agents for Pervasive Sensor Networks
In this paper, we describe an information agent, that resides on a mobile computer or personal digital assistant (PDA), that can autonomously acquire sensor readings from pervasiv...
Alex Rogers, Mike Osborne, Sarvapali D. Ramchurn, ...
ECIR
2009
Springer
16 years 1 months ago
A Topic-Based Measure of Resource Description Quality for Distributed Information Retrieval
The aim of query-based sampling is to obtain a sufficient, representative sample of an underlying (text) collection. Current measures for assessing sample quality are too coarse gr...
Mark Baillie, Mark James Carman, Fabio Crestani