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CORR
2011
Springer
174views Education» more  CORR 2011»
13 years 28 days 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
ICRA
2009
IEEE
122views Robotics» more  ICRA 2009»
13 years 6 months ago
Utilizing reflection properties of surfaces to improve mobile robot localization
Abstract-- A main difficulty that arises in the context of probabilistic localization is the design of an appropriate observation model, i.e., determining the likelihood of a senso...
Maren Bennewitz, Cyrill Stachniss, Sven Behnke, Wo...
ICASSP
2007
IEEE
14 years 3 months ago
Toward Turbo Decoding of RNA Secondary Structure
We propose an iterative probabilistic algorithm for estimation of RNA secondary structure using sequence data from two homologous sequences. The method is intended to exploit inte...
Arif Ozgun Harmanci, Gaurav Sharma, David H. Mathe...
AAAI
2007
13 years 11 months ago
A Multi-Dimensional Trust Model for Heterogeneous Contract Observations
In this paper we develop a novel probabilistic model of computational trust that allows agents to exchange and combine reputation reports over heterogeneous, correlated multi-dime...
Steven Reece, Stephen Roberts, Alex Rogers, Nichol...
SAC
2006
ACM
14 years 3 months ago
Interval-based robust statistical techniques for non-negative convex functions, with application to timing analysis of computer
: In chip design, one of the main objectives is to decrease its clock cycle; however, the existing approaches to timing analysis under uncertainty are based on fundamentally restri...
Michael Orshansky, Wei-Shen Wang, Martine Ceberio,...