Sciweavers

459 search results - page 81 / 92
» Computational Complexity of Probabilistic Disambiguation
Sort
View
AI
2010
Springer
14 years 11 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 3 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
15 years 11 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...
IROS
2007
IEEE
175views Robotics» more  IROS 2007»
15 years 6 months ago
Simulation and weights of multiple cues for robust object recognition
Reliable recognition of objects is an important capabaility in the progress towards getting agents to accomplish and assist in a variety of useful tasks such as search and rescue ...
Sarah Aboutalib, Manuela M. Veloso
BMCBI
2007
124views more  BMCBI 2007»
14 years 11 months ago
Analysis on multi-domain cooperation for predicting protein-protein interactions
Background: Domains are the basic functional units of proteins. It is believed that protein-protein interactions are realized through domain interactions. Revealing multi-domain c...
Rui-Sheng Wang, Yong Wang, Ling-Yun Wu, Xiang-Sun ...