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ML
2006
ACM
122views Machine Learning» more  ML 2006»
15 years 2 months ago
PRL: A probabilistic relational language
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
Lise Getoor, John Grant
101
Voted
NN
2007
Springer
15 years 2 months ago
Edge of chaos and prediction of computational performance for neural circuit models
We analyze in this article the significance of the edge of chaos for real-time computations in neural microcircuit models consisting of spiking neurons and dynamic synapses. We ...
Robert A. Legenstein, Wolfgang Maass
100
Voted
DKE
2000
102views more  DKE 2000»
15 years 2 months ago
A Generic Framework for the Modeling of Contexts and its Applications
: Large information bases that are used by several different users and applications accommodate the demands of their users more effectively, if they can be split into possibly over...
Renate Motschnig-Pitrik
111
Voted
PR
2007
104views more  PR 2007»
15 years 2 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
ICML
2007
IEEE
16 years 3 months ago
Discriminative learning for differing training and test distributions
We address classification problems for which the training instances are governed by a distribution that is allowed to differ arbitrarily from the test distribution--problems also ...
Michael Brückner, Steffen Bickel, Tobias Sche...