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CIKM
2006
Springer
14 years 7 days ago
Optimisation methods for ranking functions with multiple parameters
Optimising the parameters of ranking functions with respect to standard IR rank-dependent cost functions has eluded satisfactory analytical treatment. We build on recent advances ...
Michael J. Taylor, Hugo Zaragoza, Nick Craswell, S...
ISTA
2007
13 years 10 months ago
Resolving Indifferences in Multiple Attribute Business Information System Selection with Social Choice Methods
: The evaluation of Information Systems (IS) is a critical process for the successful development of any organizational IT capability. An important class of decision making techniq...
Edward Bernroider, Johann Mitlöhner
VTC
2007
IEEE
128views Communications» more  VTC 2007»
14 years 2 months ago
Performance of Space-Code-Division Multiple-Access Systems Using Reduced-Rank Detection
Abstract—In this contribution the performance of multipleinput multiple-output space-division, code-division multipleaccess (MIMO SCDMA) is investigated, when the low-complexity ...
Jiliang Zhang, Lie-Liang Yang
AAAI
2012
11 years 11 months ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
IDA
2005
Springer
14 years 2 months ago
Learning Label Preferences: Ranking Error Versus Position Error
We consider the problem of learning a ranking function, that is a mapping from instances to rankings over a finite number of labels. Our learning method, referred to as ranking by...
Eyke Hüllermeier, Johannes Fürnkranz