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ECIR
2003
Springer
9 years 19 days ago
Representative Sampling for Text Classification Using Support Vector Machines
In order to reduce human efforts, there has been increasing interest in applying active learning for training text classifiers. This paper describes a straightforward active learni...
Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi W...
ECIR
2003
Springer
9 years 19 days ago
A Hybrid Relevance-Feedback Approach to Text Retrieval
Abstract. Relevance feedback (RF) has been an effective query modification approach to improving the performance of information retrieval (IR) by interactively asking a user whet...
Zhao Xu, Xiaowei Xu, Kai Yu, Volker Tresp
ECIR
2003
Springer
9 years 19 days ago
Experiments with Document Archive Size Detection
The size of a document archive is a very important parameter for resource selection in distributed information retrieval systems. In this paper, we present a method for automatical...
Shengli Wu, Forbes Gibb, Fabio Crestani
ECIR
2003
Springer
9 years 19 days ago
WebDocBall: A Graphical Visualization Tool for Web Search Results
Abstract In the Web search process people often think that the hardest work is done by the search engines or by the directories which are entrusted with finding the Web pages. Whi...
Jesús Vegas, Pablo de la Fuente, Fabio Cres...
ECIR
2003
Springer
9 years 19 days ago
A Machine Learning Approach for the Curation of Biomedical Literature
In this paper, we present an automated text classification system for the classification of biomedical papers. This classification is based on whether there is experimental eviden...
Min Shi, David S. Edwin, Rakesh Menon, Lixiang She...
ECIR
2003
Springer
9 years 19 days ago
From Uncertain Inference to Probability of Relevance for Advanced IR Applications
Uncertain inference is a probabilistic generalisation of the logical view on databases, ranking documents according to their probabilities that they logically imply the query. For ...
Henrik Nottelmann, Norbert Fuhr
ECIR
2003
Springer
9 years 19 days ago
Discretizing Continuous Attributes in AdaBoost for Text Categorization
Abstract. We focus on two recently proposed algorithms in the family of “boosting”-based learners for automated text classification, AdaBoost.MH and AdaBoost.MHKR . While the ...
Pio Nardiello, Fabrizio Sebastiani, Alessandro Spe...
ECIR
2003
Springer
9 years 19 days ago
A Weighting Scheme for Star-Graphs
We present in this paper a relational approach for indexing and retrieving photographs from a collection. Instead of using simple keywords as an indexing language, we propose to u...
Jean Martinet, Iadh Ounis, Yves Chiaramella, Phili...
ECIR
2003
Springer
9 years 19 days ago
Topic Detection and Tracking with Spatio-Temporal Evidence
Topic Detection and Tracking is an event-based information organization task where online news streams are monitored in order to spot new unreported events and link documents with ...
Juha Makkonen, Helena Ahonen-Myka, Marko Salmenkiv...
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