1012 search results - page 109 / 203 » A Learning Classifier Approach to Tomography |
130
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HICSS
2006
IEEE
15 years 10 months ago
2006
IEEE
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
140
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ECCV
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
141
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KDD
2009
ACM
16 years 4 months ago
2009
ACM
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
140
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ICRA
2005
IEEE
15 years 9 months ago
2005
IEEE
— This paper addresses the problem of classifying places in the environment of a mobile robot into semantic categories. We believe that semantic information about the type of pla...
148
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NIPS
2001
15 years 5 months ago
2001
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...