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» The Inefficiency of Batch Training for Large Training Sets
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CEAS
2007
Springer
14 years 28 days ago
Online Active Learning Methods for Fast Label-Efficient Spam Filtering
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
D. Sculley
CIVR
2006
Springer
201views Image Analysis» more  CIVR 2006»
14 years 20 days ago
Efficient Margin-Based Rank Learning Algorithms for Information Retrieval
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
Rong Yan, Alexander G. Hauptmann
DAS
2006
Springer
14 years 19 days ago
Aligning Transcripts to Automatically Segmented Handwritten Manuscripts
Abstract. Training and evaluation of techniques for handwriting recognition and retrieval is a challenge given that it is difficult to create large ground-truthed datasets. This is...
Jamie L. Rothfeder, R. Manmatha, Toni M. Rath
AAAI
2007
13 years 11 months ago
Posterior Probability Profiles for the Automated Assessment of the Recovery of Stroke Patients
Assessing recovery from stroke has been so far a time consuming procedure in which highly trained clinicians are required. This paper proposes a mechatronic platform which measure...
Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hu...
ACL
2008
13 years 10 months ago
Mining Wiki Resources for Multilingual Named Entity Recognition
In this paper, we describe a system by which the multilingual characteristics of Wikipedia can be utilized to annotate a large corpus of text with Named Entity Recognition (NER) t...
Alexander E. Richman, Patrick Schone