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CIKM
2009
Springer
13 years 11 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
GECCO
2008
Springer
160views Optimization» more  GECCO 2008»
13 years 6 months ago
An estimation distribution algorithm with the spearman's rank correlation index
This article arguments that rank correlation coefficients are powerful association measures and how can they be adopted by EDAs. A new EDA implements the proposed ideas: the Non-P...
Arturo Hernández Aguirre, Enrique Raú...
JCO
1998
136views more  JCO 1998»
13 years 4 months ago
A Greedy Randomized Adaptive Search Procedure for the Feedback Vertex Set Problem
Abstract. A Greedy Randomized Adaptive Search Procedure (GRASP) is a randomized heuristic that has produced high quality solutions for a wide range of combinatorial optimization pr...
Panos M. Pardalos, Tianbing Qian, Mauricio G. C. R...
ACL
2006
13 years 6 months ago
A Discriminative Global Training Algorithm for Statistical MT
This paper presents a novel training algorithm for a linearly-scored block sequence translation model. The key component is a new procedure to directly optimize the global scoring...
Christoph Tillmann, Tong Zhang
BIOINFORMATICS
2007
151views more  BIOINFORMATICS 2007»
13 years 5 months ago
A new protein-protein docking scoring function based on interface residue properties
Motivation: Protein–protein complexes are known to play key roles in many cellular processes. However, they are often not accessible to experimental study because of their low s...
Julie Bernauer, Jérôme Azé, Jo...