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BMCBI
2005
89views more  BMCBI 2005»
15 years 6 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg
DCG
1998
59views more  DCG 1998»
15 years 6 months ago
A Probabilistic Analysis of the Power of Arithmetic Filters
The assumption of real-number arithmetic, which is at the basis of conventional geometric algorithms, has been seriously challenged in recent years, since digital computers do not...
Olivier Devillers, Franco P. Preparata
SSDBM
2008
IEEE
107views Database» more  SSDBM 2008»
16 years 26 days ago
ProUD: Probabilistic Ranking in Uncertain Databases
There are a lot of application domains, e.g. sensor databases, traffic management or recognition systems, where objects have to be compared based on vague and uncertain data. Feat...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
FORTE
2008
15 years 8 months ago
Multiset Bisimulations as a Common Framework for Ordinary and Probabilistic Bisimulations
Abstract. Our concrete objective is to present both ordinary bisimulations and probabilistic bisimulations in a common coalgebraic framework based on multiset bisimulations. For th...
David de Frutos-Escrig, Miguel Palomino, Ignacio F...
IJCAI
2007
15 years 8 months ago
Probabilistic Consistency Boosts MAC and SAC
Constraint Satisfaction Problems (CSPs) are ubiquitous in Artificial Intelligence. The backtrack algorithms that maintain some local consistency during search have become the de ...
Deepak Mehta, Marc R. C. van Dongen