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81
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UM
2005
Springer
15 years 3 months ago
A Decomposition Model for the Layered Evaluation of Interactive Adaptive Systems
Abstract. A promising approach towards evaluating adaptive systems is to decompose the adaptation process and evaluate the system in a “piece-wise” manner. This paper presents ...
Alex Paramythis, Stephan Weibelzahl
104
Voted
KI
2002
Springer
14 years 9 months ago
Advantages, Opportunities and Limits of Empirical Evaluations: Evaluating Adaptive Systems
While empirical evaluations are a common research method in some areas of Artificial Intelligence (AI), others still neglect this approach. This article outlines both the opportun...
Stephan Weibelzahl, Gerhard Weber
AH
2000
Springer
15 years 2 months ago
Layered Evaluation of Adaptive Applications and Services
In this paper we present an empirical study of the InterBook system to demonstrate the benefits of the layered evaluation framework, where the success of adaptation is addressed at...
Charalampos Karagiannidis, Demetrios G. Sampson
107
Voted
CVPR
2008
IEEE
16 years 5 days ago
Learning coupled conditional random field for image decomposition with application on object categorization
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...
Xiaoxu Ma, W. Eric L. Grimson
MIDDLEWARE
2004
Springer
15 years 3 months ago
Kernel-middleware interaction to support adaptation in pervasive computing environments
In pervasive computing environments, conditions are highly variable and resources are limited. In order to meet the needs of applications, systems must adapt dynamically to changi...
Farshad A. Samimi, Philip K. McKinley, Seyed Masou...