What is cognitive science?
C4.5: programs for machine learning
C4.5: programs for machine learning
The nature of statistical learning theory
The nature of statistical learning theory
Combining labeled and unlabeled data with co-training
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
First Draft of a Report on the EDVAC
IEEE Annals of the History of Computing
Cybernetics: Or Control and Communication in Animal and the Machine
Cybernetics: Or Control and Communication in Animal and the Machine
Automatic learning of textual entailments with cross-pair similarities
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Comparing EEG/ERP-like and fMRI-like techniques for reading machine thoughts
BI'10 Proceedings of the 2010 international conference on Brain informatics
Parallels between machine and brain decoding
BI'12 Proceedings of the 2012 international conference on Brain Informatics
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In this paper, we want to farther advance the parallelism between models of the brain and computing machines. We want to apply the same idea underlying neuroimaging techniques to electronic computers. Applying this parallelism, we can address these two questions: (1) how far we can go with neuroimaging in understanding human mind? (foundational perspective); (2) can we understand what computers "think"? (applicative perspective). Our experiments demonstrate that it is possible to believe that both questions have positive answers.