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» Fostering Learning Communities based on Task Context
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EPIA
2003
Springer
15 years 2 months ago
Adaptation to Drifting Concepts
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
Gladys Castillo, João Gama, Pedro Medas
KDD
2005
ACM
143views Data Mining» more  KDD 2005»
15 years 10 months ago
SVM selective sampling for ranking with application to data retrieval
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
Hwanjo Yu
CASCON
2008
107views Education» more  CASCON 2008»
14 years 11 months ago
NetPal: a dynamic network administration knowledge base
Netpal is a web-based dynamic knowledge base system designed to assist network administrators in their troubleshooting tasks, in recalling and storing experience, and in identifyi...
Ashley George, Adetokunbo Makanju, Evangelos E. Mi...
ICCBR
2007
Springer
15 years 3 months ago
An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs
We identify two fundamental points of utilizing CBR for an adaptive agent that tries to learn on the basis of trial and error without a model of its environment. The first link co...
Thomas Gabel, Martin Riedmiller
70
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FLAIRS
2003
14 years 11 months ago
A Case-Based Adaptation Model for Thyroid Cancer Diagnosis Using Neural Networks
In this paper, a new hybrid adaptation model for cancer diagnosis has been developed. It combines transformational and hierarchical adaptation techniques with artificial neural ne...
Abdel-Badeeh M. Salem, Bassant El Bagoury