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CIKM
2009
Springer
14 years 2 months ago
Adaptive relevance feedback in information retrieval
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
Yuanhua Lv, ChengXiang Zhai
SIGIR
2006
ACM
14 years 1 months ago
Learning a ranking from pairwise preferences
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
Ben Carterette, Desislava Petkova
RECOMB
2008
Springer
14 years 8 months ago
Spectrum Fusion: Using Multiple Mass Spectra for De Novo Peptide Sequencing
We report on a new algorithm for combining the information from several mass spectra of the same peptide. The algorithm automatically learns peptide fragmentation patterns, so that...
Ritendra Datta, Marshall W. Bern
HIS
2004
13 years 9 months ago
An Empirical Performance Comparison of Machine Learning Methods for Spam E-Mail Categorization
The increasing volume of unsolicited bulk e-mail (also known as spam) has generated a need for reliable anti-spam filters. Using a classifier based on machine learning techniques ...
Chih-Chin Lai, Ming-Chi Tsai
ICMCS
2005
IEEE
134views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Multi-Modal Video Concept Extraction Using Co-Training
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. A major obstacle to this is the insufficiency o...
Rong Yan, Milind R. Naphade