4578 search results - page 152 / 916 » Learning from Multi-source Data |
114
Voted
NIPS
2000
15 years 3 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
103
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IJCAI
1989
15 years 2 months ago
1989
Despite the fact that many symbolic and connectionist (neural net) learning algorithms are addressing the same problem of learning from classified examples, very little Is known r...
132
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IJCV
2011
14 years 8 months ago
2011
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
245
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DCC
2011
IEEE
14 years 8 months ago
2011
IEEE
With the simplicity of its application together with compression efficiency, the Discrete Cosine Transform(DCT) plays a vital role in the development of video compression standar...
109
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ICML
2002
IEEE
16 years 2 months ago
2002
IEEE
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...