These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

142 related articles for article (PubMed ID: 25001609)

  • 1. Probabilistic models, learning algorithms, and response variability: sampling in cognitive development.
    Bonawitz E; Denison S; Griffiths TL; Gopnik A
    Trends Cogn Sci; 2014 Oct; 18(10):497-500. PubMed ID: 25001609
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Rational variability in children's causal inferences: the Sampling Hypothesis.
    Denison S; Bonawitz E; Gopnik A; Griffiths TL
    Cognition; 2013 Feb; 126(2):285-300. PubMed ID: 23200511
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Rational randomness: the role of sampling in an algorithmic account of preschooler's causal learning.
    Bonawitz E; Gopnik A; Denison S; Griffiths TL
    Adv Child Dev Behav; 2012; 43():161-91. PubMed ID: 23205411
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Interactions between causal models, theories, and social cognitive development.
    Sobel DM; Buchanan DW; Butterfield J; Jenkins OC
    Neural Netw; 2010; 23(8-9):1060-71. PubMed ID: 20615661
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A tutorial introduction to Bayesian models of cognitive development.
    Perfors A; Tenenbaum JB; Griffiths TL; Xu F
    Cognition; 2011 Sep; 120(3):302-21. PubMed ID: 21269608
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bayesian networks, Bayesian learning and cognitive development.
    Gopnik A; Tenenbaum JB
    Dev Sci; 2007 May; 10(3):281-7. PubMed ID: 17444969
    [No Abstract]   [Full Text] [Related]  

  • 7. Rational approximations to rational models: alternative algorithms for category learning.
    Sanborn AN; Griffiths TL; Navarro DJ
    Psychol Rev; 2010 Oct; 117(4):1144-67. PubMed ID: 21038975
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Mechanisms of theory formation in young children.
    Gopnik A; Schulz L
    Trends Cogn Sci; 2004 Aug; 8(8):371-7. PubMed ID: 15335464
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Win-Stay, Lose-Sample: a simple sequential algorithm for approximating Bayesian inference.
    Bonawitz E; Denison S; Gopnik A; Griffiths TL
    Cogn Psychol; 2014 Nov; 74():35-65. PubMed ID: 25086501
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Children's questions: a mechanism for cognitive development.
    Chouinard MM
    Monogr Soc Res Child Dev; 2007; 72(1):vii-ix, 1-112; discussion 113-26. PubMed ID: 17394580
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Cognitive procedural learning among children and adolescents with or without spastic cerebral palsy: the differential effect of age.
    Gofer-Levi M; Silberg T; Brezner A; Vakil E
    Res Dev Disabil; 2014 Sep; 35(9):1952-62. PubMed ID: 24858793
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Learning from non-representative instances: Children's sample and population predictions.
    Thevenow-Harrison JT; Kalish CW
    J Exp Child Psychol; 2016 Dec; 152():335-342. PubMed ID: 27576088
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Causal learning and inference as a rational process: the new synthesis.
    Holyoak KJ; Cheng PW
    Annu Rev Psychol; 2011; 62():135-63. PubMed ID: 21126179
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A theory of causal learning in children: causal maps and Bayes nets.
    Gopnik A; Glymour C; Sobel DM; Schulz LE; Kushnir T; Danks D
    Psychol Rev; 2004 Jan; 111(1):3-32. PubMed ID: 14756583
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The Bayesian revolution approaches psychological development.
    Shultz TR
    Dev Sci; 2007 May; 10(3):357-64. PubMed ID: 17444975
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Effects of explaining on children's preference for simpler hypotheses.
    Walker CM; Bonawitz E; Lombrozo T
    Psychon Bull Rev; 2017 Oct; 24(5):1538-1547. PubMed ID: 28176290
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bayesian models of child development.
    Gopnik A; Bonawitz E
    Wiley Interdiscip Rev Cogn Sci; 2015; 6(2):75-86. PubMed ID: 26263064
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Reconstructing constructivism: causal models, Bayesian learning mechanisms, and the theory theory.
    Gopnik A; Wellman HM
    Psychol Bull; 2012 Nov; 138(6):1085-108. PubMed ID: 22582739
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Approximate, computationally efficient online learning in Bayesian spiking neurons.
    Kuhlmann L; Hauser-Raspe M; Manton JH; Grayden DB; Tapson J; van Schaik A
    Neural Comput; 2014 Mar; 26(3):472-96. PubMed ID: 24320847
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Formalizing Neurath's ship: Approximate algorithms for online causal learning.
    Bramley NR; Dayan P; Griffiths TL; Lagnado DA
    Psychol Rev; 2017 Apr; 124(3):301-338. PubMed ID: 28240922
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.