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» Learning Generalized Plans Using Abstract Counting
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ECML
2007
Springer
14 years 2 months ago
Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
Marcin Wojnarski
ICAI
2008
13 years 10 months ago
Nonrestrictive Concept-Acquisition by Representational Redescription
coarse procedures or very abstract frames from the point of view of algorithm, because some crucial issues like the representation, evolution, storage, and learning process of conc...
Hui Wei, Yan Chen
WAPCV
2007
Springer
14 years 2 months ago
Context Driven Focus of Attention for Object Detection
Abstract. Context plays an important role in general scene perception. In particular, it can provide cues about an object’s location within an image. In computer vision, object d...
Roland Perko, Ales Leonardis
UAI
2003
13 years 9 months ago
CLP(BN): Constraint Logic Programming for Probabilistic Knowledge
Abstract. In Datalog, missing values are represented by Skolem constants. More generally, in logic programming missing values, or existentially quantified variables, are represent...
Vítor Santos Costa, David Page, Maleeha Qaz...
WCE
2007
13 years 9 months ago
Neural Networks for Optimal Control of Aircraft Landing Systems
Abstract—In this work we present a variational formulation for a multilayer perceptron neural network. With this formulation any learning task for the neural network is defined ...
Kevin Lau, Roberto Lopez, Eugenio Oñate