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ICML
2010
IEEE
15 years 7 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein
ECIS
2004
15 years 8 months ago
The value of life histories in researching the adoption and use of M-services
Mobile services are a very important part of the e-commerce landscape. Although research has been conducted on what services people use and what value they attach to those service...
Patricia McManus, Craig Standing
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 7 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
SIGIR
2012
ACM
13 years 9 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
RE
2006
Springer
15 years 6 months ago
Understanding Business Strategies of Networked Value Constellations Using Goal- and Value Modeling
In goal-oriented requirements engineering (GORE), one usually proceeds from a goal analysis to a requirements specification, usually of IT systems. In contrast, we consider the us...
Jaap Gordijn, Michaël Petit, Roel Wieringa