157 search results - page 30 / 32 » On Bayesian bounds |
TSP
2010
13 years 2 months ago
2010
This paper proposes a linear transmitter design that aims at minimizing the packet error rate (PER) using partial channel state information at the transmitter (CSIT). The design is...
AI
2002
Springer
13 years 7 months ago
2002
Springer
Bayesian networks, equivalently graphical Markov models determined by acyclic digraphs or ADGs (also called directed acyclic graphs or dags), have proved to be both effective and ...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, we propose a two-dimensional active learning scheme and show its application in image classification. Traditional active learning methods select samples only along ...
JMLR
2010
13 years 2 months ago
2010
Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model selection criterion, often based on an estimator of...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...