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» Decision Making Using Probabilistic Inference Methods
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PR
2008
97views more  PR 2008»
15 years 1 months ago
A vision-based method for weeds identification through the Bayesian decision theory
One of the objectives of precision agriculture is to minimize the volume of herbicides that are applied to the fields through the use of site-specific weed management systems. Thi...
Alberto Tellaeche, Xavier P. Burgos-Artizzu, Gonza...
ICML
2006
IEEE
16 years 2 months ago
Topic modeling: beyond bag-of-words
Some models of textual corpora employ text generation methods involving n-gram statistics, while others use latent topic variables inferred using the "bag-of-words" assu...
Hanna M. Wallach
RSKT
2009
Springer
15 years 8 months ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao
KBSE
2009
IEEE
15 years 8 months ago
Inferring Method Effect Summaries for Nested Heap Regions
Effect systems are important for reasoning about the side effects of a program. Although effect systems have been around for decades, they have not been widely adopted in practice...
Mohsen Vakilian, Danny Dig, Robert L. Bocchino Jr....
WEBI
2005
Springer
15 years 7 months ago
A MAS Approach to Fusion of Heterogeneous Information
Distributed Perception Networks (DPN) are a MAS approach to large scale fusion of heterogeneous and noisy information. DPN agents can establish meaningful information filtering c...
Gregor Pavlin, Patrick de Oude, Jan Nunnink