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	Spatial analysis of plague in California: Niche modeling predictions of the current distribution and potential response to climate change [My Copy] International Journal of Health Geographics, Vol. 8, No. 1. (28 June 2009), 38. by Ashley Holt, Daniel Salkeld, Curtis Fritz, James Tucker, Peng Gong posted to climate disease distribution_model gis machine-learning niche presence-only-models spatial by neteler on 2009-07-03 18:05:59 as
	Integrating Landsat TM and SRTM-DEM derived variables with decision trees for habitat classification and change detection in complex neotropical environments [My Copy] Remote Sensing of Environment, Vol. In Press, Corrected Proof by Steven E. Sesnie, Paul E. Gessler, Bryan Finegan, Sirpa Thessler posted to change habitat landsat machine-learning srtm by neteler on 2008-12-01 18:12:24 as along with 1 person iwagner
	Mapping land-cover modifications over large areas: A comparison of machine learning algorithms [My Copy] Remote Sensing of Environment In Earth Observations for Terrestrial Biodiversity and Ecosystems Special Issue, Vol. 112, No. 5. (15 May 2008), pp. 2272-2283. by John Rogan, Janet Franklin, Doug Stow, Jennifer Miller, Curtis Woodcock, Dar Roberts posted to classification landcover machine-learning by neteler on 2008-09-08 15:12:15 as
	Model Selection and Multi-Model Inference [My Copy] (04 December 2003) by Kenneth P. Burnham, David Anderson posted to machine-learning by neteler on 2008-01-17 09:18:36 as along with 8 people roodubh TLVincent alexjfalcao brian e2holmes cwmccabe RolandKappe dmajka
	Bias in random forest variable importance measures: Illustrations, sources and a solution [My Copy] BMC Bioinformatics, Vol. 8, No. 1. (25 January 2007), pp. 1-25. by Carolin Strobl, Anne-Laure Boulesteix, Achim Zeileis, Torsten Hothorn posted to cart classification machine-learning randomforest by neteler on 2007-10-02 22:23:46 as along with 8 people felixandrews jjrodriguez olberd jxl ucbcjbm guhjy jfr rabio
	Novel methods improve prediction of species distributions from occurrence data [My Copy] Ecography, Vol. 29, No. 2. (April 2006), pp. 129-151. by Jane Elith, Catherine H. Graham, Robert P. Anderson, et al.Miroslav Dudík, Simon Ferrier, Antoine Guisan, Robert J. Hijmans, Falk Huettmann, John R. Leathwick, Anthony Lehmann, Jin Li, Lucia G. Lohmann, Bette A. Loiselle, Glenn Manion, Craig Moritz, Miguel Nakamura, Yoshinori Nakazawa, Jacob, Townsend A. Peterson, Steven J. Phillips, Karen Richardson, Ricardo Scachetti-Pereira, Robert E. Schapire, Jorge Soberón, Stephen Williams, Mary S. Wisz, Niklaus E. Zimmermann posted to vegetation r_stats presence-only-models presence-only presence-absence-models prediction-error modeling machine-learning geostatistics geospatial distribution_model classification cart biology analysis algorithms by neteler on 2007-01-11 14:23:12 as along with 8 people and 3 groups kaiserm phig gdebandi mmunson dekay23 liucun Flit cmm biodiversity_conservation Global_biodiversity_model FAB-lab
	Elements of Machine Learning [My Copy] (01 September 1995) by Pat Langley posted to algorithms machine-learning by neteler on 2006-12-20 09:49:51 as
	Working Paper - Bias in Random Forest Variable Importance Measures: Illustrations, Sources and a Solution (by Strobl, Carolin; Boulesteix, Anne-Laure; Zeileis, Achim; Hothorn, Torsten) [My Copy] Research Report Series / Department of Statistics and Mathematics, No. 40. (2006) by C. Strobl, A. L. Boulesteix, A. Zeileis, T. Hothorn posted to machine-learning randomforest by neteler on 2006-11-12 20:38:40 as
	Neural Networks and the Bias/Variance Dilemma [My Copy] Neural Computation, Vol. 4, No. 1. (January 1992), pp. 1-58. by S. Geman, E. Bienenstock, R. Doursat posted to machine-learning by neteler on 2006-09-21 14:18:59 as along with 8 people asterix77 installe ntrinh misovalko yaroslavvb sdvillal atbrew suizan
	Ensemble Learning [My Copy] In The Handbook of Brain Theory and Neural Networks. 2nd ed. (2002) by T. G. Dietterich edited by M. A. Arbib posted to machine-learning by neteler on 2006-09-20 13:05:32 as
	Induction of Decision Trees [My Copy] Mach. Learn., Vol. 1, No. 1. (March 1986), pp. 81-106. by J. R. Quinlan posted to cart classification machine-learning by neteler on 2006-09-01 14:54:33 as
	Random forests for land cover classification [My Copy] Proc. Geoscience and Remote Sensing Symposium, 2003. IGARSS '03, Vol. 6 (2003), pp. 3510-3512. by M. Pal posted to machine-learning prediction-error randomforest remote-sensing by neteler on 2006-08-27 22:37:08 as
	Pattern Recognition and Neural Networks [My Copy] (18 January 1996) by Brian D. Ripley posted to machine-learning by neteler on 2006-08-25 17:29:23 as along with 5 people awarlau minrmw thefillm Found olbudt
	Neural network ensembles [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 12, No. 10. (1990), pp. 993-1001. by L. K. Hansen, P. Salamon posted to machine-learning by neteler on 2006-08-25 15:07:28 as along with 2 people drivard robincha
	The Elements of Statistical Learning [My Copy] (30 July 2003) by T. Hastie, R. Tibshirani, J. H. Friedman posted to machine-learning by neteler on 2006-08-25 11:13:52 as along with 59 people and 11 groups azhdari emailhy donnachie singhsh abellogin mahmoodr lop idlebrain makrehchi awarlau gabriprat gokopal alexeigor liamtoh333 amsantos minrmw brian eddymier roys akastrin robotact thefillm ansobol pdlug yaroslavvb bigga jelsas davidr gyuli garyfeng aufrank leidner chad_davis jekky balajis Jaykul balicea sdvillal donade bigbossman sbarthelme bedo AbnerCYH nojhan bamberg kgajos raiyar deysandeep petrposik dbgrant nmdang alfirk brianmc jung_dalglish dquercia blueskies Repton quianominorleo jaonary LDA and dimension reduction techniques CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory
	Tree-based methods [My Copy] In Machine Learning Methods for Ecological Applications (August 1999), pp. 89-106. by John F. Bell edited by Alan Fielding posted to cart ecology machine-learning by neteler on 2006-08-22 16:44:24 as
	Ensemble Methods in Machine Learning [My Copy] Lecture Notes in Computer Science, Vol. 1857 (2000), pp. 1-15. by Thomas G. Dietterich posted to ensemble machine-learning by neteler on 2006-08-22 15:42:26 as along with 8 people and 3 groups zhaomin aufrank shilad bhaddow rogerblake srp33 egibaja hideojoho ur-cls GroupLens Boosting
	Machine Learning Methods for Ecological Applications [My Copy] (31 August 1999), pp. 1-36. by Alan Fielding edited by Alan Fielding posted to cart ecology machine-learning by neteler on 2006-08-22 15:33:02 as
	Classification and Regression by randomForest [My Copy] R News, Vol. 2, No. 3. (December 2002), pp. 18-22. by Andy Liaw, Matthew Wiener posted to ensemble machine-learning randomforest by neteler on 2006-08-03 23:30:29 as
	Boosting the margin: a new explanation for the effectiveness of voting methods [My Copy] In Proc. 14th International Conference on Machine Learning (1997), pp. 322-330. by Robert E. Schapire, Yoav Freund, Peter Bartlett, Wee S. Lee posted to boosting ensemble machine-learning by neteler on 2006-08-03 23:23:49 as along with 2 people gyuli mukundn
	Predicting habitat suitability with machine learning models: The potential area of Pinus sylvestris L. in the Iberian Peninsula [My Copy] Ecological Modelling, Vol. 197, No. 3-4. (August 2006), pp. 383-393. by Marta B. Garzon, Radim Blazek, Markus Neteler, Rut S. Dios, Helios S. Ollero, Cesare Furlanello posted to ecology gis machine-learning presence-absence-models randomforest roc by neteler on 2006-08-03 23:03:54 as along with 3 people liucun eden dmajka
	Bagging Predictors [My Copy] Machine Learning, Vol. 24, No. 2. (1996), pp. 123-140. by Leo Breiman posted to bagging ensemble machine-learning by neteler on 2006-08-03 22:05:57 as along with 19 people and 3 groups brothers gyuli kevynct kaarsinogen ChaTo lfriedl mukundn mthomure sdvillal KaraNagai lbatista Repton robincha girschick thangvu wlyu2001 eegilbert askom floares mlkd kdl LIVIA
	Indicator bacteria at five swimming beaches-analysis using random forests. [My Copy] Water Res, Vol. 39, No. 7. (April 2005), pp. 1354-1360. by D. F. Parkhurst, K. P. Brenner, A. P. Dufour, L. J. Wymer posted to biology ecology machine-learning randomforest by neteler on 2006-08-03 17:57:17 as
	Random forest classifier for remote sensing classification [My Copy] International Journal of Remote Sensing, Vol. 26, No. 1. (January 2005), pp. 217-222. by M. Pal posted to ensemble machine-learning randomforest remote-sensing svm by neteler on 2006-08-03 17:56:18 as along with 1 person dongpo
	Random forest classifiers for hyperspectral data [My Copy] Proc. Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., Vol. 1 (2005), pp. 1-4. by S. R. Joelsson, J. A. Benediktsson, J. R. Sveinsson posted to ensemble machine-learning randomforest remote-sensing by neteler on 2006-08-03 17:52:59 as
	Random forests of binary hierarchical classifiers for analysis of hyperspectral data [My Copy] IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data (2003), pp. 337-345. by M. M. Crawford, Jisoo Ham, Yangchi Chen, J. Ghosh posted to ensemble machine-learning randomforest remote-sensing by neteler on 2006-08-03 17:51:30 as
	Random Forest classification of multisource remote sensing and geographic data [My Copy] Proc. Geoscience and Remote Sensing Symposium, 2004. IGARSS '04, Vol. 2 (2004), pp. 1049-1052. by P. O. Gislason, J. A. Benediktsson, J. R. Sveinsson posted to ensemble machine-learning randomforest remote-sensing by neteler on 2006-08-03 17:48:33 as
	Boosting of Tree-based Classifiers for Predictive Risk Modeling in GIS [My Copy] In Multiple Classifier Systems, Lecture Notes in Computer Science 1857 (2000), pp. 220-229. by C. Furlanello, S. Merler edited by J. Kittler, F. Roli posted to boosting disease ixodes machine-learning risk by neteler on 2006-08-03 17:11:22 as
	Comparison of statistical methods commonly used in predictive modelling [My Copy] Journal of Vegetation Science, Vol. 15, No. 2. (2004), pp. 285-292. by J. Muñoz, Felicisimo posted to cart ecology machine-learning modeling roc by neteler on 2006-08-02 17:24:50 as
	Classification tree methods for analysis of mesoscale distribution of Ixodes ricinus (Acari:Ixodidae) in Trentino, Italian Alps. [My Copy] Journal of Medical Entomology, Vol. 33, No. 6. (November 1996), pp. 888-893. by S. Merler, C. Furlanello, C. Chemini, G. Nicolini posted to cart disease ixodes machine-learning modeling by neteler on 2006-08-02 16:28:03 as
	Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction [My Copy] Ecosystems, Vol. 9, No. 2. (March 2006), pp. 181-199. by Anantha Prasad, Louis Iverson, Andy Liaw posted to cart ecology epidemiology machine-learning randomforest risk by neteler on 2006-08-02 14:15:48 as along with 1 group Forest inventory and monitoring
	Modelling distribution and abundance with presence-only data [My Copy] Journal of Applied Ecology, Vol. 43, No. 3. (June 2006), pp. 405-412. by E. Pearc, L. Jennie, E. Boyc, S. Mark posted to biology cart ecology machine-learning modeling by neteler on 2006-07-26 00:04:48 as
	A comparison of statistical approaches for modelling fish species distributions [My Copy] Freshwater Biology, Vol. 47, No. 10. (2002), pp. 1976-1995. by Julian D. Olden, Donald A. Jackson posted to biology comparison ecology machine-learning by neteler on 2006-07-25 23:56:30 as along with 2 people balicea dmajka
	Classification and Regression Trees: A Powerful Yet Simple Technique for Ecological Data Analysis [My Copy] Ecology, Vol. 81, No. 11. (November 2000), pp. 3178-3192. by Glenn De'ath, Katharina E. Fabricius posted to cart ecology machine-learning modeling by neteler on 2006-07-25 23:48:34 as
	Classification Tree Methods for Analysis of Mesoscale Distribution of Ixodes ricinus (Acari: Ixodidae) in Trentino, Italian Alps [My Copy] Journal of Medical Entomology, Vol. 33, No. 6. (June 1996), pp. 888-893. by S. Merler, C. Furlanello, C. Chemini, G. Nicolini posted to cart ecology habitat ixodes machine-learning ticks by neteler on 2006-07-25 23:42:28 as
	Classification and Regression Trees [My Copy] (1984) by L. Breiman, J. Friedman, R. Olshen, C. Stone posted to cart machine-learning by neteler on 2006-07-25 23:39:26 as
	Random Forests [My Copy] Machine Learning, Vol. 45, No. 1. (2001), pp. 5-32. by Leo Breiman posted to boosting cart classification ensemble machine-learning by neteler on 2006-07-25 23:36:26 as along with 4 people davidr gyuli robincha GernotMargreitner
	Comparing models for predicting species' potential distributions: a case study using correlative and mechanistic predictive modelling techniques [My Copy] Ecological Modelling, Vol. 164, No. 2. (June 2003), pp. 153-167. by M. P. Robertson, C. I. Peter, M. H. Villet, B. S. Ripley posted to ecology geostatistics machine-learning modeling by neteler on 2006-07-25 17:52:02 as along with 3 people and 1 group dekay23 jmeppley dmajka Climate Change and Forests
	Discovering Spatio-Temporal Models of the Spread of West Nile Virus [My Copy] Risk Analysis, Vol. 26, No. 2. (April 2006), pp. 413-422. by Jennifer Orme-Zavaleta, Jane Jorgensen, Bruce D'Ambrosio, Eric Altendorf, Philippe A. Rossignol posted to bayes machine-learning modeling time-series west-nile by neteler on 2006-07-25 16:45:29 as along with 1 person tvdbulck
	Modelling ecological niches with support vector machines [My Copy] Journal of Applied Ecology, Vol. 43, No. 3. (June 2006), pp. 424-432. by John M. Drake, N. Christophe Randi, N. Antoine Guisa posted to ecology machine-learning modeling svm by neteler on 2006-07-25 16:43:04 as
	Random Forests [My Copy] Machine Learning, Vol. 45 (2001), pp. 5-32. by L. Breiman posted to cart classification machine-learning randomforest by neteler on 2006-01-28 16:48:13 as along with 1 person mbenito
	Applications of machine learning to ecological modelling [My Copy] Ecological Modelling, Vol. 146 (2001), pp. 303-310. by F. Recknagel posted to ecology machine-learning modeling time-series by neteler on 2006-01-28 06:22:11 as along with 1 person mbenito
	Habitat suitability modelling for red deer (Cervus elaphus L.) in South-central Slovenia with classification trees [My Copy] Ecological Modelling, Vol. 138, No. 1-3. (15 March 2001), pp. 321-330. by Marko Debeljak, Saso Dzeroski, Klemen Jerina, Andrej Kobler, Miha Adamic posted to cart ecology habitat machine-learning red_deer by neteler on 2006-01-26 23:20:09 as
	Observed and predicted responses of plant growth to climate across Canada [My Copy] Geophysical Research Letters, Vol. 32 (25 August 2005), L16710. by Andrew G. Bunn, Scott J. Goetz, Gregory J. Fiske posted to machine-learning model modeling prediction prediction-error randomforest by neteler on 2005-11-17 20:55:56 as
	The meaning and use of the area under a receiver operating characteristic (ROC) curve. [My Copy] Radiology, Vol. 143, No. 1. (1 April 1982), pp. 29-36. by J. A. Hanley, B. J. McNeil posted to machine-learning roc by neteler on 2005-08-09 21:26:53 as along with 16 people and 4 groups gtaralds olberd tuckmobile lingendj misonneh Flit nachtalp microserf mdreid Repton frohike jarasch bootsy girschick adoms tubbens biodiversity_conservation Global_biodiversity_model Bioinformatics Statistical Machine Learning
	GIS tools for tick and tick-borne disease occurrence. [My Copy] Parasitology, Vol. 129 Suppl (2004) by M. Daniel, J. Kolár, P. Zeman posted to disease gis machine-learning tick-borne by neteler on 2005-07-24 23:32:46 as along with 1 person eden
	Predictive habitat distribution models in ecology [My Copy] Ecological Modelling, Vol. 135, No. 2. (5 December 2000), pp. 147-186. by A. Guisan, N. E. Zimmermann posted to habitat machine-learning model prediction by neteler on 2005-07-24 21:09:13 as along with 4 people rkalsi liucun Estael dmajka
	Evaluating predictive models of species' distributions: criteria for selecting optimal models [My Copy] Ecological Modelling, Vol. 162, No. 3. (15 April 2003), pp. 211-232. by R. P. Anderson, D. Lew, A. T. Peterson posted to machine-learning prediction roc by neteler on 2005-07-24 20:49:47 as along with 2 people and 2 groups Flit JustinQuirouette biodiversity_conservation Global_biodiversity_model
	The effects of species' range sizes on the accuracy of distribution models: ecological phenomenon or statistical artefact? [My Copy] Journal of Applied Ecology, Vol. 41, No. 5. (October 2004), pp. 811-823. by Jana M. Mcpherson, Walter Jetz, David J. Rogers posted to machine-learning prediction-error by neteler on 2005-07-24 20:46:52 as along with 1 person dmajka
	Presence-absence versus presence-only modelling methods for predicting bird habitat suitability [My Copy] Ecography, Vol. 27, No. 4. (August 2004), pp. 437-448. by L. Brotons, W. Thuiller, M. B. Araújo, A. H. Hirzel posted to machine-learning prediction presence-absence-models presence-only-models by neteler on 2005-07-24 20:43:16 as along with 2 people and 2 groups dmajka Flit biodiversity_conservation Global_biodiversity_model

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disease	239
remote-sensing	122
ticks	107
gis	95
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modeling	26
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vector	21
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rodents	19
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landscape	18
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biology	16
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spatial	16
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srtm	4
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genomics	1
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neteler's machine-learning [51 articles] Export

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