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NEUROSCIENCE
2001
Springer
13 years 12 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
14 years 28 days ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
DGO
2007
150views Education» more  DGO 2007»
13 years 9 months ago
Event-triggered data and knowledge sharing among collaborating government organizations
Solving complex global problems such as illegal immigration, border control, and terrorism requires government organizations at all levels to share not only data but, more importa...
Seema Degwekar, Jeff DePree, Howard W. Beck, Carla...
KI
2006
Springer
13 years 7 months ago
A Hybrid Time Management Approach to Agent-Based Simulation
In this paper we describe a time management approach to distributed agent-based simulation. We propose a new time management policy by joining optimistic synchronization techniques...
Dirk Pawlaszczyk, Ingo J. Timm
SIGMOD
2010
ACM
236views Database» more  SIGMOD 2010»
14 years 8 days ago
Differentially private aggregation of distributed time-series with transformation and encryption
We propose PASTE, the first differentially private aggregation algorithms for distributed time-series data that offer good practical utility without any trusted server. PASTE add...
Vibhor Rastogi, Suman Nath