2878 search results - page 124 / 576 » Learning the Common Structure of Data |
116
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Signals in response to time-localized events of a common phenomenon tend to exhibit a common shape, but with variable time scale, amplitude, and delay across trials in many domain...
151
Voted
NIPS
1990
15 years 4 months ago
1990
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
114
Voted
PKDD
2000
Springer
15 years 7 months ago
2000
Springer
Previous algoritms for the construction of belief networks structures from data are mainly based either on independence criteria or on scoring metrics. The aim of this paper is to ...
132
Voted
COGSCI
2010
15 years 3 months ago
2010
We used a new method to assess how people can infer unobserved causal structure from patterns of observed events. Participants were taught to draw causal graphs, and then shown a ...
151
Voted
PPSN
2004
Springer
15 years 9 months ago
2004
Springer
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...