889 search results - page 95 / 178 » Probabilistic Neural Network Models for Sequential Data |
NIPS
2008
13 years 9 months ago
2008
Sequential optimal design methods hold great promise for improving the efficiency of neurophysiology experiments. However, previous methods for optimal experimental design have in...
NN
2006
Springer
13 years 8 months ago
2006
Springer
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
PVLDB
2010
13 years 6 months ago
2010
Complex networks, such as biological, social, and communication networks, often entail uncertainty, and thus, can be modeled as probabilistic graphs. Similar to the problem of sim...
MUE
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper we propose Rank-Based Broadcast (RBB) algorithm using High Order Markov Chain (HOMC) with weight values in mobile p2p ad-hoc networks (MOPNET) for ubiquitous. RBB us...
NN
2000
Springer
13 years 7 months ago
2000
Springer
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...