2566 search results - page 174 / 514 » Relating reinforcement learning performance to classificatio... |
145
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ECML
2004
Springer
15 years 8 months ago
2004
Springer
It is well-known that naive Bayes performs surprisingly well in classification, but its probability estimation is poor. In many applications, however, a ranking based on class prob...
150
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ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
122
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ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
Unlike most previous manifold-based data classification algorithms assume that all the data points are on a single manifold, we expect that data from different classes may reside ...
158
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CORR
2011
Springer
14 years 8 months ago
2011
Springer
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
125
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DAGM
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. We consider an automated processing pipeline for tissue micro array analysis (TMA) of renal cell carcinoma. It consists of several consecutive tasks, which can be mapped ...