194 search results - page 25 / 39 » Learning whom to trust: using graphical models for learning ... |
FC
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. We present a useful new mechanism that facilitates the atomic exchange of many large baskets of securities in a combinatorial exchange. Cryptography prevents information ...
CSB
2005
IEEE
14 years 1 months ago
2005
IEEE
In the feature selection of cancer classification problems, many existing methods consider genes individually by choosing the top genes which have the most significant signal-to...
DSS
2011
12 years 11 months ago
2011
Abstract: Much has been written about word of mouth and customer behavior. Telephone call detail records provide a novel way to understand the strength of the relationship between ...
JMLR
2010
13 years 2 months ago
2010
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
CIKM
2007
Springer
14 years 1 months ago
2007
Springer
Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...