36 search results - page 2 / 8 » Direct and inverse results in variable Hilbert scales |
KDD
2003
ACM
14 years 6 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...
ICML
2007
IEEE
14 years 7 months ago
2007
IEEE
We describe a causal learning method, which employs measuring the strength of statistical dependences in terms of the Hilbert-Schmidt norm of kernel-based cross-covariance operato...
VLSID
2007
IEEE
14 years 6 months ago
2007
IEEE
Title of thesis: EFFICIENT AND ACCURATE STATISTICAL TIMING ANALYSIS FOR NON-LINEAR NON-GAUSSIAN VARIABILITY WITH INCREMENTAL ATTRIBUTES Ashish Dobhal, Master of Science, 2006 Thes...
JCP
2008
13 years 6 months ago
2008
Fault detection in large-scale systems is conducted by the use of sensors, thus the sensor location influences the performances of fault detection directly. As the scale of systems...
NIPS
2003
13 years 7 months ago
2003
Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...