biblio-local-RF.bib

@article{aha:etal:1991,
    author = {Aha, D. W. and Kibler, D. and Albert, M. K.},
    journal = {Machine Learning},
    issue = {1},
    pages = {37-66},
    title = {{Instance-based learning algorithms}},
    volume = {6},
    year = {1991}
}

@book{aha:1997,
 editor = {Aha, D. W.},
 title = {{Lazy} {Learning}},
 year = {1997},
 publisher = {Kluwer Academic Publishers},
 address = {Norwell, MA, USA},
} 

@article{amaratunga:etal:2008,
    author = {Amaratunga, D. and Cabrera, J. and Lee, Y.-S.},
    title =  {Enriched random forests},
    journal = {Bioinformatics},
    volume = {24},
    number = {18},
    pages = {2010-2014},
    year = {2008}
}

@article{armano:tamponi:2018,
author = {Armano, G. and Tamponi, E.},
journal = {Pattern Recognition},
pages = {380-390},
title = {Building forests of local trees},
volume = {76},
year = {2018}
}

@article {beaumont:etal:2002,
	author = {Beaumont, M. and Zhang, W. and Balding, D.},
	title = {Approximate {Bayesian} Computation in Population Genetics},
	volume = {162},
	number = {4},
	pages = {2025-2035},
	year = {2002},
	journal = {Genetics}
}

@article{biau:2012,
  title		= {Analysis of a random forest model},
  author	= {Biau, G.},
  journal	= {Journal of Machine Learning Research},
  volume	= 13,
  pages		= {1063--1095},
  year		= 2012
}


@article{bloniarz:etal:2016,
author = {Bloniarz, A. and Wu, C. and Yu, B. and Talwalkar, A.},
journal = {Proceedings of the 19th International Conference on Artificial Intelligence and Statistics},
pages = {1450-1459},
title = {Supervised Neighborhoods for Distributed Nonparametric Regression},
volume = {51},
year = {2016}
}

@article{blum:francois:2010,
  author	= {Blum, M. G. B. and Fran{\c c}ois, O.},
  year		= {2010},
  title		= {Non-linear regression models for Approximate {B}ayesian Computation},
  journal	= {Statistics and Computing},
  volume	= 20,
  pages		= {63-73}
}

@article{blum:etal:2013,
	author = {Blum, M. G. B. and Nunes, M. and Prangle, D. and Sisson, S. A.},
	title = {A comparative review of dimension reduction methods in approximate {Bayesian} computation},
	journal = {Statistical Science},
	number = {2},
	pages = {189-208},
	volume = {28},
	year = {2013}
}

@book{breiman:etal:1984,
  title={Classification and Regression Trees},
  author={Breiman, L. and Friedman, J. and Stone, C. J. and Olshen, R. A.},
  series={The Wadsworth and Brooks-Cole statistics-probability series},
  year={1984},
  publisher={Taylor \& Francis}
}


@article{breiman:1996,
author = {Breiman},
pages = {123-140},
title = {Bagging predictors},
journal = {Machine Learning},
volume = {24},
issue = {2},
year = {1996}
}

@article{breiman:2001,
author = {Breiman},
pages = {5-32},
title = {Random forests},
journal = {Machine Learning},
volume = {45},
issue = {1},
year = {2001}
}

@book{chapelle:etal:2010,
  title={Semi-supervised learning},
  author={Chapelle, O. and Sch{\"o}lkopf, B. and Zien, A.},
  series={Adaptive computation and machine learning},
  year={2010},
  publisher={MIT Press}
}

@article{cleveland:1979,
author = {Cleveland, W.},
pages = {829-836},
title = {{Robust Locally Weighted Regression and Smoothing Scatterplots}},
journal = {Journal of the American Statistical Association},
volume = {74},
number = {368},
year = {1979}
}

@article{cleveland:devlin:1988,
author = {Cleveland, W.},
pages = {596-610},
title = {{Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting}},
journal = {Journal of the American Statistical Association},
volume = {83},
number = {403},
year = {1988}
}

@article{cornuet:etal:2014,
author = {Cornuet, J.-M. and Pudlo, P. and Veyssier, J. and Dehne-Garcia, A. and Gautier, M. and Leblois, R. and Marin, J.-M. and Estoup, A.},
pages = {1187-1189},
title = {DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, {DNA} sequence and microsatellite data},
journal = {Bioinformatics},
volume = {30},
number = {8},
year = {2014}
}

@article{csillery:etal:2010,
author = {{Csill{\'{e}}ry}, K. and Blum, M. G. B. and Gaggiotti, O. E. and Fran{\c{c}}ois, O.},
journal = {Trends in Ecology and Evolution},
pages = {410-418},
title = {Approximate {Bayesian} computation {(ABC)} in practice},
volume = {25},
year = {2010}
}

@article{fayyad:irani:1995,
author = {Fayyad, U. M. and Irani, K. B.},
journal = {Proceedings of the 13th International Joint Conference on Artificial Intelligence},
pages = {1022-1027},
title = {Multi-interval discretization of continuous-valued attributes for classification learning},
volume = {2},
year = {1995}
}

@article{fan:1993,
author = {Fan, J.},
journal = {The Annals of Statistics},
pages = {196?216},
title = {Local linear regression smoothers and their minimax efficiencies},
volume = {21},
number = {1},
year = {1993}
}

@article{fern:etal:2003,
author = {Fern, X. Z and Brodley, C. E},
journal = {Proceedings of the Twentieth International Conference on Machine Learning},
number = {1},
pages = {178-185},
title = {Boosting lazy decision trees},
volume = {20},
year = {2003}
}

@article{friedman:etal:1997,
    author = {Friedman, J. H. and Kohavi, R. and Yun, Y.},
    journal = {Proceedings of the 13th National Conference on AAAI},
    pages = {717-724},
    title = {Lazy decision trees},
    year = {1997}
}

@InProceedings{fulton:etal:1996,
    author = {Fulton, T. and Kasif, S. and Salzberg, S. and Waltz, D. L.},
    title = {Local induction of decision trees: towards interactive data mining},
    booktitle = {Proceedings of the Second International Conference on Knowledge Discovery and Data Mining},
    year = {1996},
    pages = {14-19},
    publisher = {AAAI Press}
}

@article{galvan:etal:2009,
author = {Galv\'an, I. M. and Valls, J. M. and Lecomte, N. and Isasi, P.},
journal = {IFIP International Federation for Information Processing},
pages = {517-522},
title = {A lazy approach for machine learning algorithms},
volume = {296},
year = {2009}
}

@InProceedings{gammerman:etal:1998,
 author = {Gammerman, A. and Vovk, V. and Vapnik, V.},
 title = {Learning by transduction},
 booktitle = {Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence},
 series = {UAI'98},
 year = {1998},
 location = {Madison, Wisconsin},
 pages = {148-155},
 numpages = {8},
 publisher = {Morgan Kaufmann Publishers Inc.},
 address = {San Francisco, CA, USA},
}

@article{hastie:loader:1993,
author = {Hastie, T. and Loader, C.},
journal = {Statistical Science},
pages = {120-129},
title = {Local regression: automatic kernel carpentry (with discussion)},
volume = {8},
number = {2},
year = {1993}
}

@article{lin:jeon:2006,
author = {Lin, Y. and Jeon, Y.},
journal = {Journal of the American Statistical Association},
issue = {474},
pages = {578-590},
title = {Random forests and adaptive nearest neighbors},
volume = {101},
year = {2006}
}

@article{margineantu:dietterich:2003,
author = {Margineantu, D. D. and Dietterich, T. G.},
journal = {Lecture Notes in Statistics - Nonlinear Estimation and Classification},
pages = {173-188},
title = {Improved class probability estimates from decision tree models},
volume = {171},
year = {2003}
}

@article{marin:etal:2011,
author = {Marin, J.-M. and Pudlo, P. and Robert, C. P. and Ryder, R.},
pages = {1167-1180},
title = {Approximate {Bayesian} computational methods},
journal = {Statistics and Computing},
issue = {6},
volume = {22},
year = {2011}
}

@article{maudes:etal:2012,
author = {Maudes, J. and Rodr\'iguez, J. J. and Carc\'ia-Osorio, C. and Garc\'a-Pedrajas, N.},
title = {{R}andom feature weights for decision tree ensemble construction},
journal = {Information Fusion},
volume = {13},
number = {1},
pages = {20-30},
year = {2012}
}

@article{meinshausen:2006,
author = {Meinshausen, N.},
pages = {983-999},
title = {Quantile regression forests},
journal = {Journal of Machine Learning Research},
volume = {7},
year = {2006}
}

@article{pritchard:etal:1999,
  author	= {Pritchard, J. K. and Seielstad, M. T. and Perez-Lezaun, A. and Feldman, M. W.},
  title		= {Population growth of human {Y} chromosomes: a study of {Y} chromosome microsatellites},
  journal	= {Molecular Biology and Evolution},
  volume	= 16,
  pages		= {1791-1798},
  year		= 1999
}

@article{pudlo:etal:2016,
author = {Pudlo, P. and Marin, J.-M. and Estoup, A. and Cornuet, J.-M. and Gautier, M. and Robert, C. P.},
journal = {Bioinformatics},
number = {6},
pages = {859-866},
title = {Reliable {ABC} model choice via random forests},
volume = {32},
year = {2016}
}

@article{raynal:etal:2019,
    author = {Raynal, L. and Marin, J.-M. and Pudlo, P. and Ribatet, M. and Robert, C. P. and Estoup, A.},
    title = {{ABC} random forests for {B}ayesian parameter inference},
    journal = {Bioinformatics},
    year = {2019},
    volume = {35},
    number = {10},
    pages = {1720-1728}
}

@InProceedings{robnik:2004,
    author= {Robnik-{\v{S}}ikonja, M.},
    editor= {Boulicaut, Jean-Fran{\c{c}}ois and Esposito, Floriana and Giannotti, Fosca and Pedreschi, Dino},
    title = {Improving Random Forests},
    booktitle = {Machine Learning: ECML 2004},
    year = {2004},
    publisher = {Springer Berlin, Heidelberg},
    address = {Berlin, Heidelberg},
    pages = {359-370},
}

@article{rodner:denzler:2009,
author = {Rodner, E. and Denzler, J.},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
pages = {252-261},
title = {Learning with few examples by transferring feature relevance},
volume = {5748 LNCS},
year = {2009}
}

@article{salles:etal:2018,
author = {Salles, T. and Gon\c{c}alves, M. and Rodrigues, V. and Rocha, L.},
year = {2018},
pages = {1-21},
title = {Improving random forests by neighborhood projection for effective text classification},
volume = {77},
journal = {Information Systems}
}

@article{scornet:etal:2015,
  author	    = {Scornet, E. and Biau, G. and Vert, J.-P.},
  title		    = {Consistency of random forests},
  year		    = {2015},
  journal      	    = {Annals of Statistics},
  number	    = {4},
  volume	    = {43},
  pages		    = {1716--1741}
}

@article{tavare:etal:1997,
  title={Inferring coalescence times from DNA sequence data},
  author={Tavar{\'e}, S. and Balding, D. and Griffiths, R. and Donnelly, P.},
  journal={Genetics},
  volume={145},
  number={2},
  pages={505-518},
  year={1997}
}

@InProceedings{tsymbal:etal:2006,
      author      = {Tsymbal, A. and Pechenizkiy, M. and Cunningham, P\'adraig},
      title       = {Dynamic integration with random forests},
      editor      = {Fürnkranz, J. and Scheffer, T. and Spiliopoulou, M.},
      booktitle   = {Machine Learning: ECML 2006. ECML 2006. Lecture Notes in Computer Science},
      publisher   = {Springer Berlin, Heidelberg},
      address     = {Berlin, Heidelberg},
      year        = {2006},
      pages       = {801-808},
}

@article{wright:ziegler:2017,
  author	= {Wright, M. N. and Ziegler, A.},
  title		= {ranger: a fast implementation of random forests for high dimensional data in {C}++ and {R}},
  journal	= {Journal of Statistical Software},
  volume	= {77},
  number    = {1},
  pages		= {1-17},
  year		= {2017}
}

@article{xu:etal:2016,
    author = {Xu, R. and Nettleton, D. and Nordman, D. J.},
    journal = {Journal of Computational and Graphical Statistics},
    number = {1},
    pages = {49-65},
    title = {Case-specific random forests},
    volume = {25},
    year = {2016}
}

@InProceedings{zhang:etal:2013, 
    author={Zhang, L. and Ren, Y. and Suganthan, P. N.}, 
    booktitle={2013 IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL)}, 
    title={Instance based random forest with rotated feature space}, 
    year={2013},
    volume={},
    number={},
    pages={31-35}
}

@article{friedberg2020local,
  title={Local linear forests},
  author={Friedberg, Rina and Tibshirani, Julie and Athey, Susan and Wager, Stefan},
  journal={Journal of Computational and Graphical Statistics},
  volume={30},
  number={2},
  pages={503--517},
  year={2020},
  publisher={Taylor \& Francis}
}