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DATAMINE
2010
161views more  DATAMINE 2010»
13 years 4 months ago
Predicting labels for dyadic data
: In dyadic prediction, the input consists of a pair of items (a dyad), and the goal is to predict the value of an observation related to the dyad. Special cases of dyadic predicti...
Aditya Krishna Menon, Charles Elkan
PKDD
1999
Springer
118views Data Mining» more  PKDD 1999»
13 years 11 months ago
Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions
We describe the problem of mining possibilistic set-valued rules in large relational tables containing categorical attributes taking a finite number of values. An example of such a...
Alexandr A. Savinov
ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
14 years 23 days ago
Simple Estimators for Relational Bayesian Classifiers
In this paper we present the Relational Bayesian Classifier (RBC), a modification of the Simple Bayesian Classifier (SBC) for relational data. There exist several Bayesian classif...
Jennifer Neville, David Jensen, Brian Gallagher
BIOCOMP
2008
13 years 9 months ago
On the Role of a Nonlinear Stress-Strain Relation in Brain Trauma
We investigate how a nonlinear stress-strain relation (that leads to a stiffening of the brain matter under strain) influences the brain dynamics in traumatic situations. We numeri...
Igor Szczyrba, Martin Burtscher, Rafal Szczyrba
CORR
2010
Springer
119views Education» more  CORR 2010»
13 years 6 months ago
Computational Complexity of Avalanches in the Kadanoff two-dimensional Sandpile Model
In this paper we prove that the avalanche problem for the Kadanoff sandpile model (KSPM) is P-complete for two-dimensions. Our proof is based on a reduction from the monotone circ...
Eric Goles Chacc, Bruno Martin