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IJCNN
2006
IEEE
16 years 13 days ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
BERTINORO
2005
Springer
15 years 12 months ago
Making Self-Adaptation an Engineering Reality
In this paper, we envision a world where a software engineer could take an existing software system, specify, for a set of properties of interest, an objective, conditions for chan...
Shang-Wen Cheng, David Garlan, Bradley R. Schmerl
GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
15 years 12 months ago
G2DGA: an adaptive framework for internet-based distributed genetic algorithms
The Internet is different from traditional parallel computing environments, and Distributed Genetic Algorithms (DGAs) for the Internet need to be designed to address these diffe...
Johan Berntsson
ICMI
2004
Springer
174views Biometrics» more  ICMI 2004»
15 years 11 months ago
MULTIFACE: multimodal content adaptations for heterogeneous devices
We are interested in applying and extending existing frameworks for combining output modalities for adaptations of multimodal content on heterogeneous devices based on user and de...
Songsak Channarukul, Susan Weber McRoy, Syed S. Al...
ML
2000
ACM
103views Machine Learning» more  ML 2000»
15 years 6 months ago
Nonparametric Time Series Prediction Through Adaptive Model Selection
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
Ron Meir