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AIMSA
2008
Springer
16 years 26 days ago
Prototypes Based Relational Learning
Relational instance-based learning (RIBL) algorithms offer high prediction capabilities. However, they do not scale up well, specially in domains where there is a time bound for c...
Rocío García-Durán, Fernando ...
ICDM
2007
IEEE
97views Data Mining» more  ICDM 2007»
16 years 25 days ago
Supervised Learning by Training on Aggregate Outputs
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
David R. Musicant, Janara M. Christensen, Jamie F....
AIED
2007
Springer
16 years 21 days ago
Emotions and Learning with AutoTutor
The relationship between emotions and learning was investigated by tracking the emotions that college students experienced while learning about computer literacy with AutoTutor. Au...
Arthur C. Graesser, Patrick Chipman, Brandon King,...
SAC
2006
ACM
16 years 14 days ago
Protein classification using transductive learning on phylogenetic profiles
Phylogenetic profiles of proteins − strings of ones and zeros encoding respectively the presence and absence of proteins in a group of genomes − have recently been used to iden...
Roger A. Craig, Li Liao
ECML
2005
Springer
16 years 1 days ago
A Comparison of Approaches for Learning Probability Trees
Probability trees (or Probability Estimation Trees, PET’s) are decision trees with probability distributions in the leaves. Several alternative approaches for learning probabilit...
Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice...