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ECIR
2010
Springer
15 years 8 months ago
Query Difficulty Prediction for Contextual Image Retrieval
Abstract. This paper explores how to predict query difficulty for contextual image retrieval. We reformulate the problem as the task of predicting how difficult to represent a quer...
Xing Xing, Yi Zhang 0001, Mei Han
COLING
2008
15 years 8 months ago
Applying Discourse Analysis and Data Mining Methods to Spoken OSCE Assessments
This paper looks at the transcribed data of patient-doctor consultations in an examination setting. The doctors are internationally qualified and enrolled in a bridging course as ...
Meladel Mistica, Timothy Baldwin, Marisa Cordella,...
DICTA
2007
15 years 8 months ago
K-means Clustering for Classifying Unlabelled MRI Data
Texture analysis of the liver for the diagnosis of cirrhosis is usually region-of-interest (ROI) based. Integrity of the label of ROI data may be a problem due to sampling. This p...
Gobert N. Lee, Hiroshi Fujita
EDM
2008
129views Data Mining» more  EDM 2008»
15 years 8 months ago
Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study
In this paper we describe an educational data mining (EDM) case study based on the data collected during the online assessment of students who were able to immediately receive tail...
Mykola Pechenizkiy, Toon Calders, Ekaterina Vasily...
EMNLP
2008
15 years 8 months ago
Understanding the Value of Features for Coreference Resolution
In recent years there has been substantial work on the important problem of coreference resolution, most of which has concentrated on the development of new models and algorithmic...
Eric Bengtson, Dan Roth