1310 search results - page 50 / 262 » Learning the k in k-means |
ICML
1996
IEEE
15 years 10 months ago
1996
IEEE
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
—The system architecture presented in this paper is designed for helping an aged person to live longer independently in their own home by detecting unusual and potentially hazard...
FOCS
2008
IEEE
15 years 4 months ago
2008
IEEE
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
FOCS
2008
IEEE
15 years 4 months ago
2008
IEEE
We study the learnability of sets in Rn under the Gaussian distribution, taking Gaussian surface area as the “complexity measure” of the sets being learned. Let CS denote the ...
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ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
We present a new method for transductive learning, which can be seen as a transductive version of the k nearest-neighbor classifier. Unlike for many other transductive learning me...