150 search results - page 24 / 30 » A Multivariate Discretization Method for Learning Bayesian N... |
140
Voted
JMLR
2008
15 years 2 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...
114
Voted
KDD
2003
ACM
16 years 3 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...
122
Voted
RECOMB
2007
Springer
16 years 2 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...
160
Voted
DCOSS
2007
Springer
15 years 8 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...
139
Voted
KDD
2010
ACM
15 years 6 months 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...