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ESANN
2007
15 years 5 months ago
The Recurrent Control Neural Network
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
Anton Maximilian Schäfer, Steffen Udluft, Han...
97
Voted
JAIR
2007
112views more  JAIR 2007»
15 years 3 months ago
Cutset Sampling for Bayesian Networks
The paper presents a new sampling methodology for Bayesian networks that samples only a subset of variables and applies exact inference to the rest. Cutset sampling is a network s...
Bozhena Bidyuk, Rina Dechter
146
Voted
ARTMED
2002
121views more  ARTMED 2002»
15 years 3 months ago
An evolutionary artificial neural networks approach for breast cancer diagnosis
This paper presents an evolutionary artificial neural network approach based on the pareto differential evolution algorithm augmented with local search for the prediction of breas...
Hussein A. Abbass
ICML
2003
IEEE
16 years 4 months ago
Link-based Classification
Over the past few years, a number of approximate inference algorithms for networked data have been put forth. We empirically compare the performance of three of the popular algori...
Qing Lu, Lise Getoor
131
Voted
IJCNN
2007
IEEE
15 years 9 months ago
Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression
— This work addresses the problem of selecting a subset of basis functions for a model linear in the parameters for regression tasks. Basis functions from a set of candidates are...
Ignacio Barrio, Enrique Romero, Lluís Belan...