Sciweavers

2914 search results - page 28 / 583
» Learning and Inference with Constraints
Sort
View
ICTAI
1996
IEEE
13 years 11 months ago
Binary CSP Solving as an Inference Process
We describe constraint solving using a rule-based approach. The distinction made between deduction rules and strategies by computational systems allows us to improve our understan...
Carlos Castro
GIS
2007
ACM
14 years 8 months ago
Exploiting automatically inferred constraint-models for building identification in satellite imagery
The building identification (BID) problem is based on a process that uses publicly available information to automatically assign addresses to buildings in satellite imagery. In pr...
Martin Michalowski, Craig A. Knoblock, Kenneth M. ...
BC
2010
163views more  BC 2010»
13 years 5 months ago
Action and behavior: a free-energy formulation
We have previously tried to explain perceptual inference and learning under a free-energy principle that pursues Helmholtz's agenda to understand the brain in terms of energy ...
Karl J. Friston, Jean Daunizeau, James Kilner, Ste...
TLCA
2005
Springer
14 years 1 months ago
Privacy in Data Mining Using Formal Methods
There is growing public concern about personal data collected by both private and public sectors. People have very little control over what kinds of data are stored and how such da...
Stan Matwin, Amy P. Felty, István T. Hern&a...
ICML
2005
IEEE
14 years 8 months ago
Naive Bayes models for probability estimation
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
Daniel Lowd, Pedro Domingos