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AAAI
2006
15 years 5 months ago
Distributed Interactive Learning in Multi-Agent Systems
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
Jian Huang, Adrian R. Pearce
EMNLP
2004
15 years 5 months ago
Trained Named Entity Recognition using Distributional Clusters
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
Dayne Freitag
IJOE
2007
146views more  IJOE 2007»
15 years 4 months ago
TMNet - Distributed viewing and editing of Topic Maps in the World Wide Web Environment
- Since the Topic Map standard describes a prospective knowledge-structuring model that can be used in a huge variety of knowledge domains the amount of applications utilizing this...
Sebastian J. F. Fudickar, Klaus Rebensburg
TSP
2010
14 years 11 months ago
A complex generalized Gaussian distribution: characterization, generation, and estimation
The generalized Gaussian distribution (GGD) provides a flexible and suitable tool for data modeling and simulation, however the characterization of the complex-valued GGD, in parti...
Mike Novey, Tülay Adali, Anindya Roy
ICML
2002
IEEE
16 years 5 months ago
Learning to Share Distributed Probabilistic Beliefs
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
Christopher Leckie, Kotagiri Ramamohanarao