Second-order inductive learning
PA Flach - International Workshop on Analogical and Inductive …, 1989 - Springer
… give learning algorithms for that problem, and in doing so we will describe a learning paradigm
called second-order inductive learning in which the problem fits. This learning paradigm …
called second-order inductive learning in which the problem fits. This learning paradigm …
Deep transfer via second-order markov logic
J Davis, P Domingos - … international conference on machine learning, 2009 - dl.acm.org
… Standard inductive learning requires that training and test instances … learning systems,
if any, are capable of it. In this paper we propose an approach based on a form of second-order …
if any, are capable of it. In this paper we propose an approach based on a form of second-order …
Second-order induction in prediction problems
R Argenziano, I Gilboa - Proceedings of the National …, 2019 - National Acad Sciences
… Because this process deals with learning how first-order induction should … learn the weights
that optimize their performance in a classification task. The notion of second-order induction …
that optimize their performance in a classification task. The notion of second-order induction …
Towards inductive generalisation in higher order logic
C Feng, S Muggleton - Machine Learning Proceedings 1992, 1992 - Elsevier
… several issues pertinent in inductive learning. The main … -- in this particular case it is second
order predicate constants such as "… A set of second order clause templates for transformation …
order predicate constants such as "… A set of second order clause templates for transformation …
TODTLER: Two-order-deep transfer learning
… an instantiation of a set of second-order templates. Hence, the … over the second-order template
sets by learning in the source … between inductive learning and transfer learning is that the …
sets by learning in the source … between inductive learning and transfer learning is that the …
Training second-order recurrent neural networks using hints
… Acknowledgements [Pratt 92] LY Pratt, Non-Literal Transfer of InforWe would like to acknowledge
useful discussions with mation among Inductive Learners, RJ Mammone D. Chen, HH …
useful discussions with mation among Inductive Learners, RJ Mammone D. Chen, HH …
Efficient hyperkernel learning using second-order cone programming
… learn the kernel function directly in an inductive setting. However, the associated … In
this paper, we show that this learning problem can be equivalently reformulated as a second-order …
this paper, we show that this learning problem can be equivalently reformulated as a second-order …
A theory of conditioning: Inductive learning within rule-based default hierarchies.
… (See Miller & Schachtman for arguments against the possibility that apparent enhancement
results entirely from extinction of second-order excitatory associations to the inhibitor.) …
results entirely from extinction of second-order excitatory associations to the inhibitor.) …
A second order cone programming approach for semi-supervised learning
… on the second order cone programming (SOCP) is introduced to learn an inductive decision
… a classifier using only the first and second order moments of the subsets without considering …
… a classifier using only the first and second order moments of the subsets without considering …
The power of second-order decision tables
R Hewett, J Leuchner - Proceedings of the 2002 SIAM International …, 2002 - SIAM
… a learning system that induces second-order decision tables from a given data set. Second-order
… Our induction system, SORCER, uses second-order decision tables as representations …
… Our induction system, SORCER, uses second-order decision tables as representations …
Gerelateerde zoekopdrachten
- second order induction prediction problems
- second order recurrent neural networks
- methodology of inductive learning
- second order cone programming approach
- theory of conditioning inductive learning
- inductive transfer learning
- higher order logic inductive generalisation
- default hierarchies inductive learning
- higher order logic induction schemes
- semi-supervised learning order cone programming approach