1957 search results - page 234 / 392 » Approximate algorithms for neural-Bayesian approaches |
179
click to vote
CAD
2004
Springer
15 years 5 months ago
2004
Springer
This paper presents a method for finding cutting paths on a 3D triangular mesh surface to reduce the stretch in the flattened surface. The cutting paths link the surface boundary ...
156
click to vote
IGARSS
2009
15 years 3 months ago
2009
Finding an accurate sparse approximation of a spectral vector described by a linear model, when there is available a library of possible constituent signals (called endmembers or ...
154
click to vote
JMLR
2010
15 years 24 days ago
2010
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
211
click to vote
ESOP
2011
Springer
14 years 9 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
233
click to vote
RECOMB
2004
Springer
16 years 6 months ago
2004
Springer
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...