21 search results - page 3 / 5 » A stochastic approximation method with max-norm projections ... |
MLDM
1999
Springer
13 years 10 months ago
1999
Springer
In large content-based image database applications, e cient information retrieval depends heavily on good indexing structures of the extracted features. While indexing techniques f...
PAKDD
2009
ACM
14 years 3 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
IJON
1998
13 years 5 months ago
1998
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
NIPS
2007
13 years 7 months ago
2007
Machine learning techniques are increasingly being used to produce a wide-range of classifiers for complex real-world applications that involve nonuniform testing costs and miscl...
AAAI
1998
13 years 7 months ago
1998
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...