150 search results - page 24 / 30 » A Multivariate Discretization Method for Learning Bayesian N... |
JMLR
2008
13 years 8 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
KDD
2003
ACM
14 years 9 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
RECOMB
2007
Springer
14 years 9 months ago
2007
Springer
Abstract. An important problem in biology is to understand correspondences between mRNA microarray levels and mass spectrometry peptide counts. Recently, a compendium of mRNA expre...
DCOSS
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...
KDD
2010
ACM
14 years 14 days ago
2010
ACM
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...