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diff --git a/sourcecodes/bnt-master/SLP/contents.m b/sourcecodes/bnt-master/SLP/contents.m new file mode 100644 index 00000000..cb4b97a0 --- /dev/null +++ b/sourcecodes/bnt-master/SLP/contents.m @@ -0,0 +1,95 @@ +% BNT Structure Learning Package +% http://banquiseasi.insa-rouen.fr/projects/bnt-slp/ +% +% Some usefull add-ons for Bayes Net Toolbox +% ================================================================================================== +% v1.5 : 20 avril 2008 +% ================================================================================================== +% +% Data manipulation +% ----------------- +% +% - mat_to_bnt : matrix to cell array conversion (with missing data encoding in the matrix) +% - hist_ic : optimal Histogram based on IC information criterion (PhL) +% - histc_ic : Histogram count , for HIST_IC edges (PhL) +% +% +% Bayes Net Structure Learning +% ---------------------------- +% +% - cond_indep_chisquare : test if X indep Y given Z using ChiSquare test (Pearson's or Likelihood Ratio Test) (PhL,OF) +% (for use with LEARN_STRUCT_PDAG_PC or LEARN_STRUCT_PDAG_IC_STAR) +% - test_chisquare : test for COND_INDEP_CHISQUARE function +% - test_pc : test for LEARN_STRUCT_PDAG_PC function with ChiSquare test (PhL) +% +% - mk_alarm_bnet : make the bnet of ALARM network (WH) (used in test_sem3) +% - mk_asia_bnet : make the bnet of ASIA network (PhL,OF) (used in test functions) +% +% - mk_naive_struct : generate the naive bayes structure (for a given class node) +% +% - learn_struct_mwst : structure learning using maximum spanning tree (OF, PhL) +% - mutual_info_score : mutual information scoring (OF, PhL, WXY) +% - test_mwst : test for LEARN_STRUCT_MWST function (PhL) +% +% - learn_struct_tan : structure learning giving the best tree augmented naive bayes classifier (OF, PHL, NS) +% +% - learn_struct_hc : structure learning using hill climbing (GL) +% - learn_struct_gs : structure learning using greedy search (GL) +% - learn_struct_gs2 : structure learning using greedy search with cache implementation (GL, WH, OF, PhL) +% (use mk_nbrs_of_dag_topo (developped WH) instead of mk_nbrs_of_dag) +% - score_init_cache : cache initialisation for local score computation (OF, PhL) +% - score_family : new version of BNT function with cache implementation (OF, PhL) +% - score_dags : new version of BNT function with cache implementation (OF, PhL, DH) +% - test_gs2 : test for LEARN_STRUCT_GS2 function (PhL) +% +% - learn_struct_ges : structure learning using Greedy Equivalence Search (PhL) +% - mk_nbrs_of_pdag_add : generate the sup. inclusion boundary of a given pdag (PhL) +% - mk_nbrs_of_pdag_del : generate the inf. inclusion boundary of a given pdag (PhL) +% - test_ges : test for LEARN_STRUCT_GES function (PhL) +% +% - learn_struct_EM : structure learning using structural EM (WH) +% - multiply_one_marginal.c +% - mk_nbrs_of_dag_topo : generate the neighbours of a given dag (WH) +% (better implementation than mk_nbrs_of_dag) +% - test_sem1 : demo 1 (SPRINKER) +% - test_sem2 : demo 2 (DISCRETE1) +% - test_sem3 : demo 3 (ALARM) +% +% - learn_struct_mwst_EM : MWST structure learning with missing data (OF, PhL) +% +% - cpdag_to_dag : return a dag for a given CPDAG (OF, PhL) +% - dag_to_cpdag : return the CPDAG, representant of the equivalent class of the dag (OF, PhL) +% - pdag_to_dag : return a DAG that instantiates the given pdag [Dor&Tarsi] (PhL, OF) +% - test_cpdag : test CPDAG_to_DAG and DAG_to_CPDAG functions (PhL) +% - kl_divergence : Kullback-Leibler divergence between two bnet distributions (PhL) +% - kl_divergence2 : Kullback-Leibler divergence between two bnet distributions (PhL) +% +% - test_structure : runs all the test functions (PhL) +% +% - gener_MCAR_net : to gener a BN which modelise a process of incomplete data generation with MCAR assumptions (OF) +% - gener_MAR_net : to gener a BN which modelise a process of incomplete data generation with MAR assumptions (OF) +% - gener_data_from_bnet_miss: to gener a incomplete dataset from a BN creted with gener_MCAR_net or gener_MAR_net (OF) +% +% - editing_dist : editing distance between two DAG (PhL) +% (memory optimization, but quite slow !) +% - learn_struct_bnpc : structure learning with BN-Power constructor (OF, PhL) +% - learn_struct_tan_EM : Tree Augmented Naive Bayes structure learning with missing data (OF, PhL) +% - learn_struct_ges_EM : structure learning in Markov equivalent space with missing data (OF, HB, PhL) +% - ...... +% +% +% Contributors : +% ------------ +% LITIS Rouen, France +% - PhL : Philippe Leray (philippe.leray@univ-nantes.fr) +% - OF : Olivier Francois (francois.olivier.c.h@gmail.com) +% +% External parts +% - GL : Gang Li, Deakin University (gangli@deakin.edu.au) +% - WH : Wei Hu, Intel (wei.hu@intel.com) +% - DH : Derek Hoiem (dhoiem@cs.cmu.edu) +% - NS : Navid Serrano, Jet Propulsion Laboratory (Navid.Serrano@jpl.nasa.gov) +% - WXY : Wang Xiang Yang, Shanghai JiaoTong University (wangxiangyang@sjtu.edu.cn) +% - HB : Hanene Borchani (hanene.borchani@gmail.com) +% + |