5463 search results - page 500 / 1093 » Evaluating algorithms that learn from data streams |
213
click to vote
CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
204
click to vote
FSKD
2007
Springer
16 years 1 months ago
2007
Springer
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
205
click to vote
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
189
click to vote
RECOMB
2010
Springer
15 years 8 months ago
2010
Springer
In this work we consider an inference task that biologists are very good at: deciphering biological processes by bringing together knowledge that has been obtained by experiments u...
199
click to vote
HPDC
2002
IEEE
15 years 11 months ago
2002
IEEE
One approach to high-performance processing of massive data sets is to incorporate computation into storage systems. Previous work has shown that this active storage model is effe...