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PAA
2008
15 years 6 months ago
A sparse Bayesian approach for joint feature selection and classifier learning
Abstract In this paper we present a new method for Joint Feature Selection and Classifier Learning (JFSCL) using a sparse Bayesian approach. These tasks are performed by optimizing...
Àgata Lapedriza, Santi Seguí, David ...
PROPOR
2010
Springer
173views Languages» more  PROPOR 2010»
15 years 4 months ago
A Machine Learning Approach to Portuguese Clause Identification
Abstract. In this work, we apply and evaluate a machine-learningbased system to Portuguese clause identification. To the best of our knowledge, this is the first machine-learning-b...
Eraldo R. Fernandes, Cícero Nogueira dos Sa...
ECAL
2003
Springer
15 years 11 months ago
Learning Biases for the Evolution of Linguistic Structure: An Associative Network Model
Abstract. Structural hallmarks of language can be explained in terms of adaptation, by language, to pressures arising during its cultural transmission. Here I present a model which...
Kenny Smith
AH
2000
Springer
15 years 11 months ago
Coherence in Modularly Composed Adaptive Learning Documents
Abstract. In this paper we suggest the Multibook approach how the gap between adaptivity and readability can be diminished. We show how a knowledge base has to be described by meta...
Cornelia Seeberg, Achim Steinacker, Ralf Steinmetz
BROADNETS
2007
IEEE
15 years 10 months ago
Reinforcement learning based routing in all-optical networks with physical impairments
Abstract-- We present and evaluate a reinforcement learningbased RWA algorithm for all-optical networks subject to physical impairments. The technique is suitable for decentralized...
Yvan Pointurier, Fariba Heidari