530 search results - page 27 / 106 » Bounds on marginal probability distributions |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We extend Support Vector Machines to input spaces that are sets by ensuring that the classifier is invariant to permutations of subelements within each input. Such permutations in...
TSP
2008
13 years 7 months ago
2008
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
HICSS
2002
IEEE
14 years 26 days ago
2002
IEEE
We propose a class of alternative stochastic volatility models for electricity prices using the quantile function modeling approach. Specifically, we fit marginal distributions ...
CIARP
2004
Springer
13 years 11 months ago
2004
Springer
In this paper, we derive lower and upper bounds for the probability of error for a linear classifier, where the random vectors representing the underlying classes obey the multivar...
IDA
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Finite mixture models can be used in estimating complex, unknown probability distributions and also in clustering data. The parameters of the models form a complex repres...