2878 search results - page 88 / 576 » Learning the Common Structure of Data |
108
Voted
JMLR
2006
15 years 3 months ago
2006
Abstract. We give dimension-free and data-dependent bounds for linear multi-task learning where a common linear operator is chosen to preprocess data for a vector of task speci...c...
150
Voted
KDD
2008
ACM
16 years 3 months ago
2008
ACM
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
142
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PRICAI
2004
Springer
15 years 8 months ago
2004
Springer
MicroRNA (miRNA), one of non-coding RNAs (ncRNAs), regulates gene expression directly by arresting the messenger RNA (mRNA) translation, which is important for identifying putative...
166
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
109
Voted
ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
Graphs are canonical examples of high-dimensional non-Euclidean data sets, and are emerging as a common data structure in many fields. While there are many algorithms to analyze ...