= Additional Material for Publications = 
This page contains a collection of additional material related to publications of members of the research group HEAL. 

[[PageOutline(1-3,Page Contents,inline,unnumbered)]]

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== In process ==
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----

== 2020 ==

=== Evolutionary Dynamics in Genetic Programming for Symbolic Regression ===

Population diversity videos:

[export:/misc/publications/2020/Evolutionary_Dynamics_Genetic_Programming/gp_poly10.mp4 "GP Poly-10 Problem"]

[export:/misc/publications/2020/Evolutionary_Dynamics_Genetic_Programming/gp_gpc.mp4 "GP GP-Challenge Problem"]

[export:/misc/publications/2020/Evolutionary_Dynamics_Genetic_Programming/osgp_poly10.mp4 "OSGP Poly-10 Problem"]

[export:/misc/publications/2020/Evolutionary_Dynamics_Genetic_Programming/osgp_gpc.mp4 "OSGP GP-Challenge Problem"]


== 2019 ==

=== GPEM Special Issue - Integrating Numerical Optimization Methods with Genetic Programming ===
M. Kommenda, B. Burlacu, G. Kronberger, M. Affenzeller - Parameter Identification for Symbolic Regression using Nonlinear Least Squares, Genetic Programming and Evolvable Machines, 2019, [https://link.springer.com/article/10.1007%2Fs10710-019-09371-3 Springer]

Experimental results:
[export:/misc/publications/2019/journals/GPEM_Special_Issue/Results.csv Results.csv] 

=== GECCO 2019 ===
The Genetic and Evolutionary Computation Conference
13th to 17th July, 2019, Prague, Czech Republic

==== Parsimony Measures in Multi-objective Genetic Programming for Symbolic Regression ====

Poster Paper 
      [export:"/misc/publications/2019/conferences/gecco/burlacu/gecco_burlacu_poster.pdf" GECCO_2019_Poster_Burlacu.pdf]

Full Paper (not accepted)
      [export:"/misc/publications/2019/conferences/gecco/burlacu/gecco_burlacu.pdf" GECCO_2019_Burlacu.pdf]

Aggregated Results (Excel)
      [export:"/misc/publications/2019/conferences/gecco/burlacu/Results_GECCO_2019_Burlacu.7z" Results_GECCO_2019_Burlacu.7z]



== 2018 ==

=== Applied Artificial Intelligence Journal ===

J. Fechter, A. Beham, S. Wagner and M. Affenzeller - Approximate Q-Learning for Stacking Problems with Continuous Production and Retrieval, Applied Artificial Intelligence, 2018, DOI: 10.1080/08839514.2018.1525852 [https://www.tandfonline.com/doi/full/10.1080/08839514.2018.1525852 link]

   Test Instances:

   [export:/misc/publications/2015/journals/AAI/Format_Description.txt Instance file format description] [[BR]]
   [export:/misc/publications/2015/journals/AAI/Instance_1_1.txt Instance 1.1] [[BR]]
   [export:/misc/publications/2015/journals/AAI/Instance_1_2.txt Instance 1.2] [[BR]]
   [export:/misc/publications/2015/journals/AAI/Instance_1_3.txt Instance 1.3] [[BR]]
   [export:/misc/publications/2015/journals/AAI/Instance_2_1.txt Instance 2.1] [[BR]]
   [export:/misc/publications/2015/journals/AAI/Instance_2_2.txt Instance 2.2] [[BR]]
   [export:/misc/publications/2015/journals/AAI/Instance_2_3.txt Instance 2.3] [[BR]]
   [export:/misc/publications/2015/journals/AAI/Instance_3_1.txt Instance 3.1] [[BR]]
   [export:/misc/publications/2015/journals/AAI/Instance_3_2.txt Instance 3.2] [[BR]]
   [export:/misc/publications/2015/journals/AAI/Instance_3_3.txt Instance 3.3]

   Source code implemented in HeuristicLab:

   [export:/misc/publications/2015/journals/AAI/Stacking_Problem.hl HeuristicLab 3.3 Script]

=== GECCO 2018 ===
The Genetic and Evolutionary Computation Conference
15th to 19th July, 2018, Kyoto, Japan

==== Algorithm Selection on Generalized Quadratic Assignment Problem Landscapes ====

Problem Instances
      [export:"/misc/publications/2018/conferences/GECCO/abeham/GQAPInstances.zip" GQAPInstances.zip] [[BR]]

Algorithm Selection Data
      [export:"/misc/publications/2018/conferences/GECCO/abeham/AlgorithmSelectionData.zip" AlgorithmSelectionData.zip] [[BR]]
[[BR]]

==== Schema-based Diversification in Genetic Programming ====

HeuristicLab Build
      [export:"/misc/publications/2018/conferences/GECCO/bburlacu/heuristiclab.7z" heuristiclab.7z]

OSGP Experiment
      [export:"/misc/publications/2018/conferences/GECCO/bburlacu/experiments/osgp.7z" osgp.7z]

OSGPS-S Experiments
      [export:"/misc/publications/2018/conferences/GECCO/bburlacu/experiments/osgp-s.7z" osgp-s.7z] [[BR]]

=== Applied Soft Computing ===
G. Kronberger, M. Kommenda, E. Lughofer, S. Saminger-Platz, A. Promberger, F. Nickel, S. Winkler, M. Affenzeller - Robust Generalized Fuzzy Modeling and Enhanced Symbolic Regression for Modeling Tribological Systems, Applied Soft Computing, 2018 [https://www.sciencedirect.com/science/article/pii/S1568494618302394 link]

   Data sets:

   [export:/misc/publications/2017/journals/ASOC/README.txt README.txt] [[BR]]
   [export:/misc/publications/2017/journals/ASOC/CF1.csv CF1.csv] [[BR]]
   [export:/misc/publications/2017/journals/ASOC/CF2.csv CF2.csv] [[BR]]
   [export:/misc/publications/2017/journals/ASOC/CF3.csv CF3.csv] [[BR]]
   [export:/misc/publications/2017/journals/ASOC/CF4.csv CF4.csv] [[BR]]
   [export:/misc/publications/2017/journals/ASOC/NvhRating.csv NvhRating.csv] [[BR]]
   [export:/misc/publications/2017/journals/ASOC/Temp1.csv Temp1.csv] [[BR]]
   [export:/misc/publications/2017/journals/ASOC/Temp2.csv Temp2.csv] [[BR]]
   [export:/misc/publications/2017/journals/ASOC/Wear1.csv Wear1.csv] [[BR]]
   [export:/misc/publications/2017/journals/ASOC/Wear2.csv Wear2.csv]

----

== 2017 ==

=== IJSPM  2017 ===
International Journal of Simulation and Process Modelling

==== Novel Robustness Measures for Engineering Design Optimisation ====
Result Tables
      [export:"/misc/publications/2017/journals/IJSPM/fleck/Uncertainty Analysis.xlsx" Uncertainty Analysis.xlsx] [[BR]]
      [export:"/misc/publications/2017/journals/IJSPM/fleck/Violation Comparison.xlsx" Violation Comparison.xlsx] [[BR]]

----

== 2016 ==

=== Annals of Operations Research ===

S. Vonolfen, M. Affenzeller - Distribution of waiting time for dynamic pickup and delivery problems, Annals of Operations Rsearch, Volume 236, Issue 2, pp 359 - 382, 2018 [https://doi.org/10.1007/s10479-014-1683-6 link]

The following additional material is provided: 

[export:/misc/publications/2013/journals/ANOR/TestEnvironment.zip Test Environment (Executable including Sample)] [[BR]]
[export:/misc/publications/2013/journals/ANOR/Source.zip Source code of the waiting strategies] [[BR]]
[export:/misc/publications/2013/journals/ANOR/BenchmarkInstances.zip Benchmark Instances] [[BR]]

=== International Journal of Simulation and Process Modelling ===

S.M. Winkler, B. Castaño, S. Luengo, S. Schaller, G. Kronberger, M. Affenzeller - Heterogeneous model ensembles for short-term prediction of stock market trends, International Journal of Simulation and Process Modelling,  11(6), pp 504-513, 2016 [https://www.inderscienceonline.com/doi/abs/10.1504/IJSPM.2016.082914 link]

Data set containing preprocessed time series of Spanish stocks:
[export:/misc/publications/2015/journals/IJSPM/spanish_stock_data_3class.csv spanish_stock_data_3class.csv]

=== EMSS 2016 ===
28th European Modeling & Simulation Symposium,
26th to 28th September, 2016, Larnaca, Cyprus

==== Analysis of Uncertainty in Engineering Design Optimization Problems ====

   Problem Implementation
      [export:"/misc/publications/2016/conferences/I3M/fleck/Problems/PressureVessel Programmable Problem.hl" PressureVessel.hl] [[BR]]
      [export:"/misc/publications/2016/conferences/I3M/fleck/Problems/SpeedReducer Programmable Problem.hl" SpeedReducer.hl] [[BR]]
      [export:"/misc/publications/2016/conferences/I3M/fleck/Problems/TensionCompressionSpring Programmable Problem.hl" TensionCompressionSpring.hl] [[BR]]
      [export:"misc/publications/2016/conferences/I3M/fleck/Problems/WeldedBeam Programmable Problem.hl" WeldedBeam.hl] [[BR]]

   Solved Problems Experiment
      [export:"/misc/publications/2016/conferences/I3M/fleck/Optimize all Problems Experiment.hl" Optimize all Problems Experiment.hl] [[BR]]

   Result Tables
      [export:"/misc/publications/2016/conferences/I3M/fleck/Literature Solutions.xlsx" Solutions.xlsx] [[BR]]
      [export:"/misc/publications/2016/conferences/I3M/fleck/Deterministic vs Uncertain Comparison.xlsx" Uncertainty Comparison.xlsx] [[BR]]


----

== 2015 ==

=== EMSS 2015 ===
27th European Modeling & Simulation Symposium,
21st to 23rd September, 2015, Bergeggi, Italy

==== Modelling a Clustered Generalized Quadratic Assignment Problem ====

Problem Instances

   [export:/misc/publications/2015/conferences/i3m/jfechter/10-50-38.txt 10-50-38.txt] [[BR]]
   [export:/misc/publications/2015/conferences/i3m/jfechter/10-50-51.txt 10-50-51.txt] [[BR]]
   [export:/misc/publications/2015/conferences/i3m/jfechter/10-50-77.txt 10-50-77.txt] [[BR]]
   [export:/misc/publications/2015/conferences/i3m/jfechter/15-35-45.txt 15-35-45.txt] [[BR]]
   [export:/misc/publications/2015/conferences/i3m/jfechter/15-35-61.txt 15-35-61.txt] [[BR]]
   [export:/misc/publications/2015/conferences/i3m/jfechter/15-35-91.txt 15-35-91.txt] [[BR]]
   [export:/misc/publications/2015/conferences/i3m/jfechter/20-30-45.txt 20-30-45.txt] [[BR]]
   [export:/misc/publications/2015/conferences/i3m/jfechter/20-30-61.txt 20-30-61.txt] [[BR]]
   [export:/misc/publications/2015/conferences/i3m/jfechter/20-30-91.txt 20-30-91.txt] [[BR]]

----

== 2014 ==

=== IEEE Transactions on Industrial Informatics ===

S. Hutterer, A. Beham, M. Affenzeller, F. Auinger and S. Wagner - Software-Enabled Investigation in Metaheuristic Power Grid Optimization, IEEE Transactions on Industrial Informatics, Volume 10, No. 1, pp. 364-372, Feb. 2014 doi: 10.1109/TII.2013.2276525 [https://ieeexplore.ieee.org/document/6574283 link]

The described experiments shall be made available as follows. For running the simulation model, MatPower is needed with Matlab (link below). The HeuristicLab file contains the optimization runs as well as results that have been analyzed within this paper.

==== Simulation Model & Optimization Experiments ====

Simulation File for Matlab 
[export:/misc/publications/2012/journals/IEEE_TII/EvalSolutionTC4.m Simulation Model] [[BR]]
Matpower Data File 
[export:/misc/publications/2012/journals/IEEE_TII/ieeecase118.m 118-Bus Data File] [[BR]]
HeuristicLab 3.3 Experiment Files [export:/misc/publications/2012/journals/IEEE_TII/AllExperimentsTII.hl HeuristicLab Experiments Collection] [[BR]]

==== Simulation-based optimization with HeuristicLab ====
A description of how to provide an evaluation service for [http://www.xjtek.com/ AnyLogic] simulation models is given [wiki:Documentation/Howto/OptimizeAnyLogicModels here].

==== Links ====   
[http://www.pserc.cornell.edu/matpower/ MATPOWER] - A MATLAB Power System Simulation Package, retrieved 11.1.2013 [[BR]]
[http://code.google.com/apis/protocolbuffers/docs/overview.html Protocol buffers], retrieved 11.1.2013 [[BR]]
[http://www.mathworks.de/de/help/matlab/call-matlab-com-automation-server.html Matlab Automation Server], retrieved 11.1.2013 [[BR]]

=== PPSN 2014 ===
13th International Conference on Parallel Problem Solving from Nature,
13th to 17th September, 2014, Ljubljana, Slovenia

==== Tutorial Algorithm and Experiment Design with HeuristicLab ====
   [export:/misc/publications/2014/conferences/PPSN/swagner/slides.pdf Tutorial slides]

   Demo experiment and results:
   [export:/misc/publications/2014/conferences/PPSN/swagner/exp.hl exp.hl]
   [export:/misc/publications/2014/conferences/PPSN/swagner/exp_results.hl exp_results.hl]

   Symbolic Regression Dataset:
   [export:/misc/publications/2014/conferences/PPSN/swagner/ppsn2014.csv ppsn2014.csv]

----

== 2013 ==

=== GPTP 2013 ===
Genetic Programming Theory and Practice Workshop,
9th to 11th May, 2013, Ann Arbor, USA

==== Gaining Deeper Insights in Symbolic Regression: Theoretical and Practical Issues (Keynote) ====
   [export:/misc/publications/2013/conferences/GPTP/maffenze/GPTP_slides.pdf Slides]

==== Tutorial Algorithm and Experiment Design with HeuristicLab ====
   [export:/misc/publications/2013/conferences/GPTP/swagner/slides.pdf Tutorial slides]

   Demo experiment and results:
   [export:/misc/publications/2013/conferences/GPTP/swagner/exp.hl exp.hl]
   [export:/misc/publications/2013/conferences/GPTP/swagner/exp_results.hl exp_results.hl]

=== GECCO 2013 ===
Genetic and Evolutionary Computation Conference,
July 6th to 10th, 2013, Amsterdam, Netherlands

==== Effects of Constant Optimization by Nonlinear Least Squares Minimization in Symbolic Regression ====
  M. Kommenda, G. Kronberger, S. Winkler, M. Affenzeller and S. Wagner - Effects of constant optimization by nonlinear least squares minimization in symbolic regression, Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, ACM, 2013 
  [https://dl.acm.org/citation.cfm?id=2482691 link]

  [export:"/misc/publications/2013/conferences/GECCO/mkommend/Presentation Gecco 2013.pdf" "Slides"]


  Experiments and Results: [[BR]]
  [export:"/misc/publications/2013/conferences/GECCO/mkommend/Experiment - Friedman-2.hl" "Friedman-2.hl"] [[BR]]
  [export:"/misc/publications/2013/conferences/GECCO/mkommend/Experiment - Keijzer-6.hl" "Keijzer-6.hl"] [[BR]]
  [export:"/misc/publications/2013/conferences/GECCO/mkommend/Experiment - Nguyen-7.hl" "Nguyen-7.hl"] [[BR]]
  [export:"/misc/publications/2013/conferences/GECCO/mkommend/Experiment - Pagie-1.hl" "Pagie-1.hl"] [[BR]]
  [export:"/misc/publications/2013/conferences/GECCO/mkommend/Experiment - Poly-10.hl" "Poly-10.hl"] [[BR]]
  [export:"/misc/publications/2013/conferences/GECCO/mkommend/Experiment - Tower.hl" "Tower.hl"] [[BR]]
  [export:"/misc/publications/2013/conferences/GECCO/mkommend/Experiment - Vladislavleva-4.hl" "Vladislavleva-4.hl"]     [[BR]]

----

== 2012 ==

=== ECML-PKDD 2012 ===
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 
September 24th to 28th, 2012, Bristol, UK 

==== HeuristicLab Demo: Knowledge Discovery through Symbolic Regression with HeuristicLab ====
All material is available at the dedicated demo page http://dev.heuristiclab.com/AdditionalMaterial/ECML-PKDD

=== GECCO 2012 ===
Genetic and Evolutionary Computation Conference,
7th to 11th July, 2012, Philadelphia, USA

==== Tutorial Algorithm and Experiment Design with HeuristicLab ====
   [export:/misc/publications/2012/conferences/GECCO/swagner/slides.pdf Tutorial slides]

   Demo TSP instance from [http://comopt.ifi.uni-heidelberg.de/software/TSPLIB95 TSPLIB]:
   [export:/misc/publications/2012/conferences/GECCO/swagner/ch130.tsp ch130.tsp]
   [export:/misc/publications/2012/conferences/GECCO/swagner/ch130.opt.tour ch130.opt.tour]

   Demo experiment and results:
   [export:/misc/publications/2012/conferences/GECCO/swagner/exp.hl exp.hl]
   [export:/misc/publications/2012/conferences/GECCO/swagner/exp_results.hl exp_results.hl]

   Demo dataset for symbolic regression:
   [export:/misc/publications/2012/conferences/GECCO/gkronber/poly-10.csv poly-10.csv]

   Demo dataset for symbolic classification:
   [export:/misc/publications/2012/conferences/GECCO/gkronber/mammography.csv mammography.csv]


=== APCast 2012 ===
14th International Asia Pacific Conference on Computer Aided System Theory,
6th to 8th February, 2012, Sydney, Australia

==== Tutorial Algorithm and Experiment Design with HeuristicLab ====
   [export:/misc/publications/2012/conferences/APCast/swagner/slides.pdf Tutorial slides]

   Demo TSP instance from [http://comopt.ifi.uni-heidelberg.de/software/TSPLIB95 TSPLIB]:
   [export:/misc/publications/2012/conferences/APCast/swagner/ch130.tsp ch130.tsp]
   [export:/misc/publications/2012/conferences/APCast/swagner/ch130.opt.tour ch130.opt.tour]

   Demo experiment and results:
   [export:/misc/publications/2012/conferences/APCast/swagner/exp.hl exp.hl]
   [export:/misc/publications/2012/conferences/APCast/swagner/exp_results.hl exp_results.hl]

----

== 2011 ==

=== 13th International Conference on Computer Aided Systems Theory (eurocast) ===
==== Tutorial Algorithm and Experiment Design with HeuristicLab ====
   Demo dataset for symbolic regression:
   [export:/misc/publications/2011/conferences/eurocast/gkronber/polynomial.csv polynomial.csv]

   Demo dataset for symbolic time series modeling:
   [export:/misc/publications/2011/conferences/eurocast/gkronber/Mackey-Glass-17.txt Mackey-Glass-17.txt]


=== GECCO 2011 ===
==== Tutorial Algorithm and Experiment Design with HeuristicLab ====
   Demo TSP instance from [http://comopt.ifi.uni-heidelberg.de/software/TSPLIB95 TSPLIB]:
   [export:/misc/publications/2011/conferences/GECCO/swagner/ch130.tsp ch130.tsp]
   [export:/misc/publications/2011/conferences/GECCO/swagner/ch130.opt.tour ch130.opt.tour]

   Demo experiment and results:
   [export:/misc/publications/2011/conferences/GECCO/swagner/exp.hl exp.hl]
   [export:/misc/publications/2011/conferences/GECCO/swagner/exp_results.hl exp_results.hl]

   Demo dataset for symbolic regression:
   [export:/misc/publications/2011/conferences/GECCO/gkronber/poly-10.csv poly-10.csv]

   Demo dataset for symbolic classification:
   [export:/misc/publications/2011/conferences/GECCO/gkronber/mammography.csv mammography.csv]

=== evo* 2011 ===
==== Macro-economic Time Series Modeling and Interaction Networks ====
   Data set of macro economic variables:
   [export:/misc/publications/2011/conferences/evoStar/gkronber/macroeconomicdata.txt macroeconomicdata.txt]

=== ICCGI 2011 ===
6th International Multi-Conference on Computing in the Global Information Technology,
19th of June, 2011, Luxemburg

==== Tutorial Algorithm and Experiment Design with HeuristicLab ====
   Demo dataset for symbolic regression:
   [export:/misc/publications/2011/conferences/GECCO/gkronber/poly-10.csv poly-10.csv]

   Demo dataset for symbolic classification:
   [export:/misc/publications/2011/conferences/GECCO/gkronber/mammography.csv mammography.csv]


=== LINDI 2011 ===
3rd IEEE International Symposium on Logistics and Industrial Informatics, 
August 25-27, 2011 in Budapest, Hungary
==== Demo dataset for warehouse slotting ====

   Stock keeping units: [export:/misc/publications/2011/conferences/LINDI/SKUsLindi.txt SKUsLindi.txt]

   Order profile: [export:/misc/publications/2011/conferences/LINDI/OrderProfileLINDI.txt OrderProfileLindi.txt]


=== IMMM 2011 ===
1st International Conference on Advances in Information Mining and Management,
23th of October, 2011, Barcelona

==== System Identification and Data Mining with HeuristicLab ====
   Demo TSP instance from [http://comopt.ifi.uni-heidelberg.de/software/TSPLIB95 TSPLIB]:
   [export:/misc/publications/2011/conferences/GECCO/swagner/ch130.tsp ch130.tsp]
   [export:/misc/publications/2011/conferences/GECCO/swagner/ch130.opt.tour ch130.opt.tour]

   Demo experiment and results:
   [export:/misc/publications/2011/conferences/GECCO/swagner/exp.hl exp.hl]
   [export:/misc/publications/2011/conferences/GECCO/swagner/exp_results.hl exp_results.hl]

   Demo dataset for symbolic regression:
   [export:/misc/publications/2011/conferences/GECCO/gkronber/poly-10.csv poly-10.csv]

   Demo dataset for symbolic classification:
   [export:/misc/publications/2011/conferences/GECCO/gkronber/mammography.csv mammography.csv]

----


== 2010 ==

=== 22nd European Modeling & Simulation Symposium (EMSS) ===

==== Mutation Effects in Genetic Algorithms with Offspring Selection Applied to Combinatorial Optimization Problems ====

Authors: S. Wagner, M. Affenzeller, A. Beham, G. Kronberger, S.M. Winkler

The !HeuristicLab experiments described in the paper can be downloaded [source:misc/publications/2010/conferences/EMSS/swagner here].

=== Dissertation Kronberger ===
The following datasets are used in experiments in the thesis.
==== Artificial benchmark datasets ====
===== Friedman-I =====
[export:/misc/publications/2010/theses/gkronber/friedman-I.csv friedman-I.csv]

This dataset is described in (Friedman, 1991), where it is used to benchmark the multi-variate adaptive regression splines (MARS) algorithm. The signal-to-noise ratio in this dataset is rather low, so it is difficult to rediscover the generating function f(x) especially the terms below the noise level (x4 and x5).

[[Image(friedman-I.png)]]

Variables x01,..., x10 are sampled uniformly from the unit hypercube (x~U(0,1)).
Epsilon is generated from the standard normal distribution (e~N(0,1)).

===== Friedman-II =====
     [export:/misc/publications/2010/theses/gkronber/friedman-II.csv friedman-II.csv]

This dataset is also described in (Friedman, 1991). The signal-to-noise ratio in this dataset is larger compared to the Friedman-I function.

[[Image(friedman-ii.png)]]

Variables x1,..., x5 are sampled uniformly from the unit hypercube (x~U(0,1)).

===== Breiman-I =====
     [export:/misc/publications/2010/theses/gkronber/breiman-I.csv breiman-I.csv]
This dataset is described in (Breiman et al., 1984), where it is used to benchmark the classification and regression trees (CART) algorithm. The signal-to-noise ratio is rather low and additionally it contains a crisp conditional which makes it rather difficult to rediscover the generating function with a symbolic regression approach.

[[Image(breiman-I.png)]]

Epsilon is generated from the normal distribution (e~N(0,2)).

Variables x01,..., x10 are randomly sampled attributes following the probability distributions:

[[Image(breiman-I-variables.png)]]

==== Real-world datasets ====

===== Chemical-I =====
     [export:/misc/publications/2010/theses/gkronber/chemical-I.csv chemical-I.csv]

===== Chemical-II =====
     [export:/misc/publications/2010/theses/gkronber/chemical-II.csv chemical-II.csv]

===== Financial-I =====
     [export:/misc/publications/2010/theses/gkronber/financial-I.csv financial-I.csv]

===== Macro-Economic =====
     [export:/misc/publications/2010/theses/gkronber/macro-economic.csv macro-economic.csv]

===== Housing =====
     [export:/misc/publications/2010/theses/gkronber/housing.csv housing.csv]

==== References ====
Jerome H. Friedman, Multivariate adaptive regression splines, ''The Annals of Statistics'', 19(1):1-141, 1991. \\
Leo Breiman, Jerome H. Friedman, Charles J. Stone and R. A. Olson, ''Classification and Regression Trees'', Chapman and Hall, 1984\\