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SEKE
2004
Springer
15 years 10 months ago
Supporting the Requirements Prioritization Process. A Machine Learning approach
Requirements prioritization plays a key role in the requirements engineering process, in particular with respect to critical tasks such as requirements negotiation and software re...
Paolo Avesani, Cinzia Bazzanella, Anna Perini, Ang...
COMPLEX
2009
Springer
15 years 11 months ago
Exploring and Understanding Scientific Metrics in Citation Networks
This paper explores scientific metrics in citation networks in scientific communities, how they differ in ranking papers and authors, and why. In particular we focus on network eff...
Mikalai Krapivin, Maurizio Marchese, Fabio Casati
171
Voted
ICMLC
2005
Springer
15 years 10 months ago
Kernel-Based Metric Adaptation with Pairwise Constraints
Abstract. Many supervised and unsupervised learning algorithms depend on the choice of an appropriate distance metric. While metric learning for supervised learning tasks has a lon...
Hong Chang, Dit-Yan Yeung
ECML
2006
Springer
15 years 8 months ago
Cost-Sensitive Learning of SVM for Ranking
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
110
Voted
JMLR
2011
98views more  JMLR 2011»
14 years 8 months ago
Winning The Transfer Learning Track of Yahoo!'s Learning To Rank Challenge with YetiRank
Andrey Gulin, Igor Kuralenok, Dmitry Pavlov