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ALT
2004
Springer
14 years 8 months ago
Probabilistic Inductive Logic Programming
Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integratio...
Luc De Raedt, Kristian Kersting
ALT
2011
Springer
12 years 11 months ago
On the Expressive Power of Deep Architectures
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Yoshua Bengio, Olivier Delalleau
CORR
2006
Springer
119views Education» more  CORR 2006»
13 years 11 months ago
An approach to RAID-6 based on cyclic groups of a prime order
As the size of data storing arrays of disks grows, it becomes vital to protect data against double disk failures. An economic way of providing such protection consists of adding tw...
R. Jackson, D. Rumynin, O. Zaboronski
ECML
2007
Springer
14 years 5 months ago
Probabilistic Explanation Based Learning
Abstract. Explanation based learning produces generalized explanations from examples. These explanations are typically built in a deductive manner and they aim to capture the essen...
Angelika Kimmig, Luc De Raedt, Hannu Toivonen
PAKDD
2005
ACM
132views Data Mining» more  PAKDD 2005»
14 years 4 months ago
SETRED: Self-training with Editing
Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
Ming Li, Zhi-Hua Zhou