Peter Földiák - researchr alias

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Viewing Publication 1 - 11 from 11

2018

300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributesGábor Berend, Márton Makrai, Peter Földiák. semeval 2018: 928-934 [doi]

2015

Neural-Symbolic Learning and Reasoning: Contributions and ChallengesArtur S. d'Avila Garcez, Tarek R. Besold, Luc De Raedt, Peter Földiák, Pascal Hitzler, Thomas Icard, Kai-Uwe Kühnberger, Luís C. Lamb, Risto Miikkulainen, Daniel L. Silver. aaaiss 2015: [doi]

2009

An application of formal concept analysis to semantic neural decodingDominik Maria Endres, Peter Földiák, Uta Priss. AMAI, 57(3-4):233-248, 2009. [doi]

2008

Interpreting the neural code with Formal Concept AnalysisDominik Endres, Peter Földiák. nips 2009: 425-432 [doi]

Exact Bayesian bin classification: a fast alternative to Bayesian classification and its application to neural response analysisDominik Endres, Peter Földiák. jcns, 24(1):21-35, 2008. [doi]

Sparse codingPeter Földiák, Dominik Endres. scholarpedia, 3(1):2984, 2008. [doi]

2007

Bayesian binning beats approximate alternatives: estimating peri-stimulus time histogramsDominik Endres, Mike W. Oram, Johannes Schindelin, Peter Földiák. nips 2008: 393-400 [doi]

2005

Bayesian bin distribution inference and mutual informationDominik Endres, Peter Földiák. TIT, 51(11):3766-3779, 2005. [doi]

2001

Stimulus optimisation in primary visual cortexPeter Földiák. ijon, 38-40:1217-1222, 2001. [doi]

1996

Learning generalisation and localisation: Competition for stimulus type and receptive fieldMike W. Oram, Peter Földiák. ijon, 11(2-4):297-321, 1996. [doi]

1991

Learning Invariance from Transformation SequencesPeter Földiák. neco, 3(2):194-200, 1991. [doi]

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