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Multi agent collaboration using distributed value functions
(IEEE, 2000)
In this paper we present the use of distributed value function techniques to reach collaboration in a multiagent system. We apply this method in two different simulation environments: a mobile robot planning/searching task ...
Minimal model of associative learning for cross-situational lexicon acquisition
(Academic PressMaryland Heights, 2012-12)
An explanation for the acquisition of word-object mappings is the associative learning in a crosssituational scenario. Here we present analytical results of the performance of a simple associative learning algorithm for ...
Structural persistence and surprisal: Implications for proficiency - modulated distributional learning in late bilinguals
(Universidade Federal de Minas GeraisUFMG, 2018-08-10)
High-proficiency bilinguals are believed to share abstract structural representations between the first and the second language L1 and L2, respectively (Hartsuiker et al., 2004; Bernolet et al., 2013; Guimarães, 2016; ...
T-fold sequential-validation technique for out-of-distribution generalization with financial time series data
(International Conference on Econometrics and Statistics, 2021)
Invited Paper: Learning and Belief Based Trade
(Instituto de Economía, Pontificia Universidad Católica de Chile, 2005)
An efficient implementation of tabu search in feeder reconfiguration of distribution systems
(2012-12-11)
This paper presents an efficient tabu search algorithm (TSA) to solve the problem of feeder reconfiguration of distribution systems. The main characteristics that make the proposed TSA particularly efficient are a) the way ...
Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers
Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information ...
T-fold sequential-validation technique for out-of-distribution generalization with financial time series data
(International Conference on Econometrics and Statistics, 2021-06)
T-fold sequential-validation technique for out-of-distribution generalization with financial time series data
(International Conference on Econometrics and Statistics, 2021-06)
T-fold sequential-validation technique for out-of-distribution generalization with financial time series data
(International Conference on Econometrics and Statistics, 2021-06)