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» A machine learning approach for improved BM25 retrieval
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ICML
2008
IEEE
14 years 10 months ago
Democratic approximation of lexicographic preference models
Previous algorithms for learning lexicographic preference models (LPMs) produce a "best guess" LPM that is consistent with the observations. Our approach is more democra...
Fusun Yaman, Thomas J. Walsh, Michael L. Littman, ...
CVPR
2006
IEEE
14 years 11 months ago
Improving Recognition of Novel Input with Similarity
Many sources of information relevant to computer vision and machine learning tasks are often underused. One example is the similarity between the elements from a novel source, suc...
Jerod J. Weinman, Erik G. Learned-Miller
WWW
2007
ACM
14 years 9 months ago
Exploring in the weblog space by detecting informative and affective articles
Weblogs have become a prevalent source of information for people to express themselves. In general, there are two genres of contents in weblogs. The first kind is about the weblog...
Xiaochuan Ni, Gui-Rong Xue, Xiao Ling, Yong Yu, Qi...
ML
2006
ACM
13 years 9 months ago
Gleaner: Creating ensembles of first-order clauses to improve recall-precision curves
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. A common way to measure performance in these domains is to use precision and recall i...
Mark Goadrich, Louis Oliphant, Jude W. Shavlik
ACL
2003
13 years 10 months ago
Combining Deep and Shallow Approaches in Parsing German
The paper describes two parsing schemes: a shallow approach based on machine learning and a cascaded finite-state parser with a hand-crafted grammar. It discusses several ways to...
Michael Schiehlen