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» Relevance Ranking Using Kernels
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ML
2010
ACM
185views Machine Learning» more  ML 2010»
14 years 9 months ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal
SIGIR
2003
ACM
15 years 7 months ago
Automatic ranking of retrieval systems in imperfect environments
The empirical investigation of the effectiveness of information retrieval (IR) systems requires a test collection, a set of query topics, and a set of relevance judgments made by ...
Rabia Nuray, Fazli Can
COLT
2007
Springer
15 years 8 months ago
How Good Is a Kernel When Used as a Similarity Measure?
Recently, Balcan and Blum [1] suggested a theory of learning based on general similarity functions, instead of positive semi-definite kernels. We study the gap between the learnin...
Nathan Srebro
114
Voted
ICDT
2007
ACM
126views Database» more  ICDT 2007»
15 years 8 months ago
Combining Incompleteness and Ranking in Tree Queries
Abstract. In many cases, users may want to consider incomplete answers to their queries. Often, however, there is an overwhelming number of such answers, even if subsumed answers a...
Benny Kimelfeld, Yehoshua Sagiv
BMCBI
2010
154views more  BMCBI 2010»
15 years 2 months ago
Candidate gene prioritization by network analysis of differential expression using machine learning approaches
Background: Discovering novel disease genes is still challenging for diseases for which no prior knowledge - such as known disease genes or disease-related pathways - is available...
Daniela Nitsch, Joana P. Gonçalves, Fabian ...