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GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 7 months ago
DXCS: an XCS system for distributed data mining
XCS is a flexible system for data mining due to its ability to deal with environmental changes, learn online with little prior knowledge and evolve accurate and maximally general...
Hai Huong Dam, Hussein A. Abbass, Chris Lokan
NIPS
2004
15 years 2 months ago
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
Hyun-Jin Park, Te-Won Lee
FECS
2010
143views Education» more  FECS 2010»
14 years 11 months ago
A Distributed Expertise Model for Teaching Computing Across Disciplines and Institutions
- Computing education has permeated virtually all disciplines, expanding learning with new technology and an updated definition of literacy that includes computational thinking. As...
Thomas Way, Lillian N. Cassel, Kim Pearson, Ursula...
ADHOC
2004
113views more  ADHOC 2004»
15 years 1 months ago
Distributed protocols for ad hoc wireless LANs: a learning-automata-based approach
An ad hoc learning-automata-based protocol for wireless LANs, capable of operating efficiently under bursty traffic conditions, is introduced. According to the proposed protocol, ...
Petros Nicopolitidis, Georgios I. Papadimitriou, A...
CVPR
2003
IEEE
16 years 3 months ago
An Efficient Approach to Learning Inhomogeneous Gibbs Model
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
Ziqiang Liu, Hong Chen, Heung-Yeung Shum