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SIGIR
2012
ACM
11 years 10 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
KI
2002
Springer
13 years 7 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
ICSM
2005
IEEE
14 years 1 months ago
A Case Study of the Release Management of a Health-care Information System
This paper describes a case study of the release management of CS-ECIS, a health-care information system developed by the Dutch software vendor ChipSoft. We performed this case st...
Gerco Ballintijn
ICASSP
2010
IEEE
13 years 6 months ago
A HMM-based speech synthesis system using a new glottal source and vocal-tract separation method
This paper introduces a HMM-based speech synthesis system which uses a new method for the Separation of Vocal-tract and LiljencrantsFant model plus Noise (SVLN). The glottal sourc...
Pierre Lanchantin, Gilles Degottex, Xavier Rodet
CAISE
2009
Springer
14 years 2 months ago
Evaluation Patterns for Analyzing the Costs of Enterprise Information Systems
Introducing enterprise information systems (EIS) is usually associated with high costs. It is therefore crucial to understand those factors that determine or influence these costs...
Bela Mutschler, Manfred Reichert