85 search results - page 10 / 17 » Aggregating Learned Probabilistic Beliefs |
ICMLA
2009
14 years 7 months ago
2009
In this paper, we present new probabilistic models for identifying bird species from audio recordings. We introduce the independent syllable model and consider two ways of aggregat...
CP
2006
Springer
15 years 1 months ago
2006
Springer
The paper presents a method for generating solutions of a constraint satisfaction problem (CSP) uniformly at random. The main idea is to express the CSP as a factored probability d...
177
Voted
POPL
2007
ACM
15 years 9 months ago
2007
ACM
In this paper, we propose a new algorithm for proving the validity or invalidity of a pre/postcondition pair for a program. The algorithm is motivated by the success of the algori...
76
Voted
FLAIRS
2001
14 years 11 months ago
2001
We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...