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» Evaluating learning algorithms and classifiers
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IJCV
2008
192views more  IJCV 2008»
15 years 17 days ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
COLING
2002
15 years 11 days ago
Unsupervised Learning of Generalized Names
We present an algorithm, Nomen, for learning generalized names in text. Examples of these are names of diseases and infectious agents, such as bacteria and viruses. These names ex...
Roman Yangarber, Winston Lin, Ralph Grishman
152
Voted
ESANN
2004
15 years 1 months ago
Data Mining Techniques on the Evaluation of Wireless Churn
This work focuses on one of the most critical issues to plague the wireless telecommunications industry today: the loss of a valuable subscriber to a competitor, also defined as ch...
Jorge Ferreira, Marley B. R. Vellasco, Marco Aur&e...
ISNN
2011
Springer
14 years 3 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
83
Voted
AUSAI
2004
Springer
15 years 6 months ago
Analyzing the Effect of Query Class on Document Retrieval Performance
Abstract. Analysis of queries posed to open-domain question-answering systems indicates that particular types of queries are dominant, e.g., queries about the identity of people, a...
Pawel Kowalczyk, Ingrid Zukerman, Michael Niemann