Peter Carbonetto
Peter Carbonetto
Research Computing Center, University of Chicago
Verified email at uchicago.edu - Homepage
TitleCited byYear
Polygenic modeling with Bayesian sparse linear mixed models
X Zhou, P Carbonetto, M Stephens
PLoS genetics 9 (2), e1003264, 2013
3972013
A statistical model for general contextual object recognition
P Carbonetto, N de Freitas, K Barnard
8th European Conference on Computer Vision, 350-362, 2004
3192004
Scalable variational inference for Bayesian variable selection in regression, and its accuracy in genetic association studies
P Carbonetto, M Stephens
Bayesian analysis 7 (1), 73-108, 2012
1472012
Genetic background limits generalizability of genotype-phenotype relationships
L Sittig, P Carbonetto, K Engel, K Krauss, C Barrios-Camacho, A Palmer
Neuron 91, 1253-1259, 2016
832016
Integrated enrichment analysis of variants and pathways in genome-wide association studies indicates central role for IL-2 signaling genes in type 1 diabetes, and cytokine …
P Carbonetto, M Stephens
PLoS genetics 9 (10), e1003770, 2013
582013
Learning to recognize objects with little supervision
P Carbonetto, G Dorkó, C Schmid, H Kück, N De Freitas
International Journal of Computer Vision 77 (1-3), 219-237, 2008
562008
Genome-wide association study of behavioral, physiological and gene expression traits in outbred CFW mice
CC Parker, S Gopalakrishnan, P Carbonetto, NM Gonzales, E Leung, ...
Nature Genetics, 2016
412016
Mapping of Craniofacial Traits in Outbred Mice Identifies Major Developmental Genes Involved in Shape Determination
LF Pallares, P Carbonetto, S Gopalakrishnan, CC Parker, ...
PLoS Genetics 11 (11), e1005607, 2015
412015
Nonparametric Bayesian logic
P Carbonetto, J Kisynski, N de Freitas, DL Poole
21st Conference on Uncertainty in Artificial Intelligence, 85-93, 2005
35*2005
Bayesian feature weighting for unsupervised learning, with application to object recognition
P Carbonetto, N De Freitas, P Gustafson, N Thompson
Artificial Intelligence and Statistics, 2003
332003
High-resolution genetic mapping of complex traits from a combined analysis of F2 and advanced intercross mice
C Parker, P Carbonetto, G Sokoloff, Y Park, M Abney, A Palmer
Genetics 198, 103-116, 2014
312014
A constrained semi-supervised learning approach to data association
H Kück, P Carbonetto, N de Freitas
8th European Conference on Computer Vision, 1-12, 2004
312004
Clustering of 770,000 genomes reveals post-colonial population structure of North America
E Han, P Carbonetto, RE Curtis, Y Wang, JM Granka, J Byrnes, K Noto, ...
Nature Communications 8, 14238, 2017
292017
Why can't José read?: the problem of learning semantic associations in a robot environment
P Carbonetto, N De Freitas
Proceedings of the HLT-NAACL 2003 workshop on Learning word meaning from non …, 2003
262003
A Stochastic approximation method for inference in probabilistic graphical models.
P Carbonetto, M King, F Hamze
Neural Information Processing Systems 23, 216-224, 2009
212009
An interior-point stochastic approximation method and an L1-regularized delta rule.
P Carbonetto, MW Schmidt, N De Freitas
Neural Information Processing Systems 22, 233-240, 2008
152008
A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues
P Carbonetto, G Dorko, C Schmid, H Kuck, N Freitas
Lecture Notes in Computer Science 4170, 277-300, 2006
132006
Conditional mean field
P Carbonetto, N De Freitas
Neural Information Processing Systems 19, 201-208, 2006
122006
Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions
SM Urbut, G Wang, P Carbonetto, M Stephens
Nature genetics, 1, 2018
102018
Discovering Population Structure From Patterns of Identity-By-Descent
E Han, RE Curtis, P Carbonetto
US Patent App. 15/168,011, 2016
82016
The system can't perform the operation now. Try again later.
Articles 1–20