4591 search results - page 191 / 919 » Learning from Dyadic Data |
131
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NAACL
2007
15 years 5 months ago
2007
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
158
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GRC
2008
IEEE
15 years 5 months ago
2008
IEEE
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
139
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BSN
2006
IEEE
15 years 10 months ago
2006
IEEE
Ubiquitous computing has established a vision of computation where computers are so deeply integrated into our lives that they become both invisible and everywhere. In order to ha...
132
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AIED
2005
Springer
15 years 10 months ago
2005
Springer
In this paper, we show how using data mining algorithms can help discovering pedagogically relevant knowledge contained in databases obtained from Web-based educational systems. Th...
118
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GECCO
2004
Springer
15 years 9 months ago
2004
Springer
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...