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» Perturbation based Large Margin Approach for Ranking
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HICSS
2006
IEEE
163views Biometrics» more  HICSS 2006»
14 years 1 months ago
Learning Ranking vs. Modeling Relevance
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
Dmitri Roussinov, Weiguo Fan
BCB
2010
140views Bioinformatics» more  BCB 2010»
13 years 2 months ago
Guiding belief propagation using domain knowledge for protein-structure determination
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
Ameet Soni, Craig A. Bingman, Jude W. Shavlik
CAISE
2004
Springer
14 years 27 days ago
Ranked Matching for Service Descriptions using DAML-S
Abstract. The vision of Semantic Web services is that computer systems shall find eligible services autonomously. This can be realised with providing semantic description about ad...
Michael C. Jaeger, Stefan Tang
XSYM
2004
Springer
115views Database» more  XSYM 2004»
14 years 25 days ago
XQuery Processing with Relevance Ranking
Abstract. We are presenting a coherent framework for XQuery processing that incorporates IR-style approximate matching and allows the ordering of results by their relevance score. ...
Leonidas Fegaras
SEKE
2004
Springer
14 years 25 days 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...