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IJCAI
2007
15 years 8 months ago
Constructing New and Better Evaluation Measures for Machine Learning
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
Jin Huang, Charles X. Ling
ATAL
2010
Springer
15 years 8 months ago
Bootstrapping trust evaluations through stereotypes
In open, dynamic multi-agent systems, agents may form short-term ad-hoc groups, such as coalitions, in order to meet their goals. Trust and reputation are crucial concepts in thes...
Chris Burnett, Timothy J. Norman, Katia P. Sycara
XPU
2009
Springer
16 years 1 months ago
Is ISO/IEC 15504 Applicable to Agile Methods?
In the last two decades several models for evaluating software process capability have been defined and became more and more popular. The application of such models, and in particu...
Giuseppe Lami, Fabio Falcini
ICCV
2009
IEEE
16 years 11 months ago
Evaluating Information Contributions of Bottom-up and Top-down Processes
This paper presents a method to quantitatively evaluate information contributions of individual bottom-up and topdown computing processes in object recognition. Our objective is...
Xiong Yang, Tianfu Wu, Song-Chun Zhu
LREC
2010
200views Education» more  LREC 2010»
15 years 8 months ago
The D-TUNA Corpus: A Dutch Dataset for the Evaluation of Referring Expression Generation Algorithms
In this paper, we present the D-TUNA corpus, which is the first semantically annotated corpus of referring expressions in Dutch. Its primary function is to evaluate and improve th...
Ruud Koolen, Emiel Krahmer