528 search results - page 78 / 106 » Structure learning with independent non-identically distribu... |
BMCBI
2010
13 years 8 months ago
2010
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
NIPS
2003
13 years 9 months ago
2003
We derive the limiting form of the eigenvalue spectrum for sample covariance matrices produced from non-isotropic data. For the analysis of standard PCA we study the case where th...
IPPS
1998
IEEE
14 years 6 days ago
1998
IEEE
Counting networks were introduced as a new class of concurrent, distributed, low contention data structures suitable for implementing shared counters. Their structure is similar t...
ECSQARU
2001
Springer
14 years 13 days ago
2001
Springer
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
RECOMB
2007
Springer
14 years 8 months ago
2007
Springer
Transcription factor (TF) binding to its DNA target site is a fundamental regulatory interaction. The most common model used to represent TF binding specificities is a position spe...