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123
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AUSAI
2006
Springer
15 years 5 months ago
Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation
Different evaluation measures assess different characteristics of machine learning algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going debat...
Marina Sokolova, Nathalie Japkowicz, Stan Szpakowi...
UM
2001
Springer
15 years 6 months ago
Evaluation of Adaptive Systems
Unambiguously, adaptive systems have to be evaluated empirically to guarantee that the adaptivity really works. Nevertheless, only few of the existing adaptive systems have been ev...
Stephan Weibelzahl
123
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JCP
2006
117views more  JCP 2006»
15 years 1 months ago
Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data
As the amount of online shoppers grows rapidly, the need of recommender systems for e-commerce sites are demanding, especially when the number of users and products being offered o...
Karen H. L. Tso, Lars Schmidt-Thieme
ICMCS
1998
IEEE
113views Multimedia» more  ICMCS 1998»
15 years 6 months ago
An Empirical Study of Color-Spatial Retrieval Techniques for Large Image Databases
In this paper, we present an experimental evaluation of three color-spatial retrieval techniques -- the signaturebased technique, the partition-based algorithm and the cluster-bas...
Chia Yeow Yee, Kian-Lee Tan, Tat-Seng Chua, Beng C...
NIPS
2008
15 years 3 months ago
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
We study the problem of domain transfer for a supervised classification task in mRNA splicing. We consider a number of recent domain transfer methods from machine learning, includ...
Gabriele Schweikert, Christian Widmer, Bernhard Sc...