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SIGIR
2010
ACM
15 years 3 months ago
Extending average precision to graded relevance judgments
Evaluation metrics play a critical role both in the context of comparative evaluation of the performance of retrieval systems and in the context of learning-to-rank (LTR) as objec...
Stephen E. Robertson, Evangelos Kanoulas, Emine Yi...
CVPR
2010
IEEE
15 years 8 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth
INFOSCALE
2007
ACM
15 years 1 months ago
Citation data clustering for author name disambiguation
In this paper, we propose a new method of citation data clustering for author name disambiguation. Most citation data appearing in the reference section of scientific papers incl...
Tomonari Masada, Atsuhiro Takasu, Jun Adachi
IR
2010
14 years 10 months ago
Learning to rank with (a lot of) word features
In this article we present Supervised Semantic Indexing (SSI) which defines a class of nonlinear (quadratic) models that are discriminatively trained to directly map from the word...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...
CIKM
2009
Springer
14 years 9 months ago
Measuring system performance and topic discernment using generalized adaptive-weight mean
Standard approaches to evaluating and comparing information retrieval systems compute simple averages of performance statistics across individual topics to measure the overall sys...
Chung Tong Lee, Vishwa Vinay, Eduarda Mendes Rodri...