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WWW
2011
ACM
14 years 4 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
PR
2007
146views more  PR 2007»
14 years 9 months ago
ML-KNN: A lazy learning approach to multi-label learning
Abstract: Multi-label learning originated from the investigation of text categorization problem, where each document may belong to several predefined topics simultaneously. In mul...
Min-Ling Zhang, Zhi-Hua Zhou
WWW
2002
ACM
15 years 10 months ago
A machine learning based approach for table detection on the web
Table is a commonly used presentation scheme, especially for describing relational information. However, table understanding remains an open problem. In this paper, we consider th...
Yalin Wang, Jianying Hu
ICML
2006
IEEE
15 years 10 months ago
Categorization in multiple category systems
We explore the situation in which documents have to be categorized into more than one category system, a situation we refer to as multiple-view categorization. More particularly, ...
Éric Gaussier, Cyril Goutte, Françoi...
WWW
2004
ACM
15 years 10 months ago
ResEval: a web-based evaluation system for internal medicine house staff
The evaluation and assessment of physicians-in-training (house staff) is a complex task. Residency training programs are under increasing pressure [1] to provide accurate and comp...
Henry J. Feldman, Marc M. Triola