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» A Probabilistic Approach to Marker Propagation
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IJCAI
1989
13 years 6 months ago
A Probabilistic Approach to Marker Propagation
Potentially, the advantages of marker-passing over local connectionist techniques for associa­ tive inference are (1) the ability to differen­ tiate variable bindings, and (2) r...
Dekai Wu
NIPS
2007
13 years 6 months ago
CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation
This paper proposes constraint propagation relaxation (CPR), a probabilistic approach to classical constraint propagation that provides another view on the whole parametric family...
Luis E. Ortiz
BMCBI
2007
153views more  BMCBI 2007»
13 years 4 months ago
Estimating genealogies from linked marker data: a Bayesian approach
Background: Answers to several fundamental questions in statistical genetics would ideally require knowledge of the ancestral pedigree and of the gene flow therein. A few examples...
Dario Gasbarra, Matti Pirinen, Mikko J. Sillanp&au...
CCS
2008
ACM
13 years 6 months ago
A general model of probabilistic packet marking for IP traceback
In this paper, we model Probabilistic Packet Marking (PPM) schemes for IP traceback as an identification problem of a large number of markers. Each potential marker is associated ...
Liming Lu, Mun Choon Chan, Ee-Chien Chang
JAIR
2006
137views more  JAIR 2006»
13 years 4 months ago
Learning Sentence-internal Temporal Relations
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
Maria Lapata, Alex Lascarides