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CCR
2010
156views more  CCR 2010»
13 years 7 months ago
Evolvable network architectures: what can we learn from biology?
There is significant research interest recently to understand the evolution of the current Internet, as well as to design clean-slate Future Internet architectures. Clearly, even ...
Constantine Dovrolis, J. Todd Streelman
ML
1998
ACM
102views Machine Learning» more  ML 1998»
13 years 7 months ago
Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
Renato Vicente, Osame Kinouchi, Nestor Caticha
IEEEICCI
2003
IEEE
14 years 1 months ago
Analogy of Incremental Program Development and Constructivist Learning
During software evolution, programmers add new functionalities and release new versions of software. This complicated work involves not only program development but also learning ...
Václav Rajlich, Shaochun Xu
IJAC
2008
63views more  IJAC 2008»
13 years 7 months ago
The Management Challenge Online: e-Learning in Practice
- The Management Challenge Online (TMCO) is a ten week online management course that begins for a cohort of 30 in the week immediately following their attendance at a residential t...
Anna Peachey, Sarah Walshe
ECAL
2005
Springer
14 years 1 months ago
Perceptually Grounded Lexicon Formation Using Inconsistent Knowledge
Typically, multi-agent models for studying the evolution of perceptually grounded lexicons assume that agents perceive the same set of objects, and that there is either joint atten...
Federico Divina, Paul Vogt