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- 09:26, 6 September 2011 JSMILE Learning: TAN (hist) [767 bytes] Shooltz (Talk | contribs) (first draft)
- 09:14, 6 September 2011 SMILE.NET Learning: BayesianSearch (hist) [30 bytes] Shooltz (Talk | contribs) (initial placeholder content)
- 09:14, 6 September 2011 SMILE.NET Learning: TAN (hist) [19 bytes] Shooltz (Talk | contribs) (initial placeholder content)
- 16:06, 27 August 2011 Reference Manual: DSL bs (hist) [2,864 bytes] Martijn (Talk | contribs) (Created page with " DSL_bs() { maxParents = 5; maxSearchTime = 0; nrIteration = 20; linkProbability = 0.1; priorLinkProbability = 0.001; priorSampleSize = 50; se...")
- 15:50, 27 August 2011 Reference Manual: DSL tan (hist) [1,055 bytes] Martijn (Talk | contribs) (Created page with "This class implements the learning procedure for learning the tree augmented naive Bayes model. =='''Methods'''== *'''DSL_tan() Constructor for the class DSL_tan. The construc...")
- 00:42, 12 January 2011 Tutorials Code: Source Code for Tutorial 7 (hist) [3,901 bytes] Tomek (Talk | contribs) (Created page with " #include <iostream> #include <sstream> #include <fstream> #include "smile.h" #include "smilearn.h" using namespace std; void learnEMDynamic()...")
- 00:40, 12 January 2011 SMILearn Tutorial 7: Learning with the EM Algorithm (Dynamic 2) (hist) [4,220 bytes] Tomek (Talk | contribs) (Created page with "In this tutorial, we will shows how to learn the parameters of a dynamic Bayesian model (File:net_tut_6.xdsl) with the EM algorithm. This tutorial is almost a carbon copy of ...")
- 00:29, 12 January 2011 SMILearn Tutorial 6: Learning with the EM Algorithm (Dynamic 1) (hist) [3,828 bytes] Tomek (Talk | contribs) (Created page with "In this tutorial, we will shows how to learn the parameters of a dynamic Bayesian model (net_tut_6.xdsl) with the EM algorithm. The structure of the network looks as follows: [[...")
- 21:21, 10 January 2011 Tutorials Code: Source Code for Tutorial 6 (hist) [3,681 bytes] Tomek (Talk | contribs) (Created page with " #include <iostream> #include <sstream> #include <fstream> #include "smile.h" #include "smilearn.h" using namespace std; void learnEMDynamic()...")
- 21:19, 10 January 2011 SMILearn Tutorial 6: Learning with the EM Algorithm (Dynamic) (hist) [3,822 bytes] Tomek (Talk | contribs) (Created page with "In this tutorial, we will shows how to learn the parameters of a dynamic Bayesian model (net_tut_6.xdsl) with the EM algorithm. We will use a model with three variables much like...")
- 04:38, 8 January 2011 Tutorials Code: Source Code for Tutorial 5 (hist) [1,240 bytes] Tomek (Talk | contribs) (Created page with " #include "smilearn.h" #include "smile.h" #include <iostream> using namespace std; void staticEM() { DSL_dataset ds; if (ds.ReadFile("ds....")
- 23:26, 7 January 2011 SMILearn Tutorial 5: Learning with the EM Algorithm (Static) (hist) [1,325 bytes] Tomek (Talk | contribs) (Created page with "In this tutorial, we will shows how to learn the parameters of a model with the EM Algorithm. We will use a model with three variables. A and B are the parents of C and there is ...")
