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配合教材Bayesian Reasoning and Machine Learning的源代碼,值得收藏

代碼片段和文件信息
%?BRMLTOOLKIT
%
%?Graph?Theory
%???ancestors????????????????-?Return?the?ancestors?of?nodes?x?in?DAG?A
%???ancestralorder???????????-?Return?the?ancestral?order?or?the?DAG?A?(oldest?first)
%???descendents??????????????-?Return?the?descendents?of?nodes?x?in?DAG?A
%???children?????????????????-?return?the?children?of?variable?x?given?adjacency?matrix?A
%???edges????????????????????-?Return?edge?list?from?adjacency?matrix?A
%???elimtri??????????????????-?Return?a?variable?elimination?sequence?for?a?triangulated?graph
%???connectedComponents??????-?Find?the?connected?components?of?an?adjacency?matrix
%???istree???????????????????-?Check?if?graph?is?singly-connected?
%???neigh????????????????????-?Find?the?neighbours?of?vertex?v?on?a?graph?with?adjacency?matrix?G
%???noselfpath???????????????-?return?a?path?excluding?self?transitions
%???parents??????????????????-?return?the?parents?of?variable?x?given?adjacency?matrix?A
%???spantree?????????????????-?Find?a?spanning?tree?from?an?edge?list
%???triangulate??????????????-?Triangulate?adjacency?matrix?A
%???triangulatePorder????????-?Triangulate?adjacency?matrix?A?according?to?a?partial?ordering
%
%
%?Potential?manipulation
%???condpot??????????????????-?Return?a?potential?conditioned?on?another?variable
%???changevar????????????????-?Change?variable?names?in?a?potential
%???dag??????????????????????-?Return?the?adjacency?matrix?(zeros?on?diagonal)?for?a?Belief?Network
%???deltapot?????????????????-?A?delta?function?potential?
%???disptable????????????????-?Print?the?table?of?a?potential
%???divpots??????????????????-?Divide?potential?pota?by?potb
%???drawFG???????????????????-?Draw?the?Factor?Graph?A
%???drawID???????????????????-?plot?an?Influence?Diagram
%???drawJTree????????????????-?plot?a?Junction?Tree
%???drawNet??????????????????-?plot?network
%???evalpot??????????????????-?Evaluate?the?table?of?a?potential?when?variables?are?set
%???exppot???????????????????-?exponential?of?a?potential
%???eyepot???????????????????-?Return?a?unit?potential
%???logpot???????????????????-?logarithm?of?the?potential
%???markov???????????????????-?Return?a?symmetric?adjacency?matrix?of?Markov?Network?in?pot
%???maxpot???????????????????-?Maximise?a?potential?over?variables
%???maxsumpot????????????????-?Maximise?or?Sum?a?potential?over?variables
%???multpots?????????????????-?Multiply?potentials?into?a?single?potential
%???numstates????????????????-?Number?of?states?of?the?variables?in?a?potential
%???orderpot?????????????????-?Return?potential?with?variables?reordered?according?to?order
%???orderpotfields???????????-?Order?the?fields?of?the?potential?creating?blank?entries?where?necessary
%???potsample????????????????-?Draw?sample?from?a?single?potential
%???potscontainingonly???????-?Returns?those?potential?numbers?that?contain?only?the?required?variables?
%???potvariables?????????????-?Returns?information?about?all?variables?in?a?set?of?potentials
%???setevpot?????????
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件???????1457??2011-12-28?23:34??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\array.m
?????文件????????785??2011-12-28?22:45??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\delta.m
?????文件???????2066??2013-12-03?12:38??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\disptable.m
?????文件????????531??2011-12-28?23:00??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\emppot.m
?????文件????????646??2012-01-29?16:34??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\evalpot.m
?????文件????????517??2012-01-24?17:25??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\exp.m
?????文件????????526??2012-01-24?17:18??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\exppot.m
?????文件????????313??2012-01-24?17:26??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\log.m
?????文件????????220??2011-12-28?23:03??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\logscalar.m
?????文件????????569??2011-12-20?16:14??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\max.m
?????文件???????1350??2011-12-20?16:14??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\maxN.m
?????文件????????503??2012-01-24?17:14??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\mrdivide.m
?????文件???????1170??2012-01-24?16:38??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\mtimes.m
?????文件????????275??2012-01-29?15:49??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\permute.m
?????文件???????1301??2011-12-28?23:08??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\plus.m
?????文件???????1198??2012-01-29?15:35??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\reshape.m
?????文件????????391??2011-12-28?23:09??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\sample.m
?????文件????????856??2011-12-28?23:09??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\setpot.m
?????文件????????933??2011-12-28?23:13??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\setstate.m
?????文件????????300??2012-08-18?18:58??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\size.m
?????文件???????1008??2011-12-28?23:44??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@array\sum.m
?????文件???????1141??2012-01-24?15:45??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@const\const.m
?????文件????????210??2011-12-28?23:52??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@const\evalpot.m
?????文件????????189??2011-12-28?23:53??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@const\logscalar.m
?????文件????????153??2011-12-28?23:53??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@const\max.m
?????文件????????450??2011-12-28?23:54??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@const\mrdivide.m
?????文件????????288??2011-12-28?23:54??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@const\mtimes.m
?????文件????????267??2011-12-28?23:55??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@const\size.m
?????文件????????905??2011-12-29?00:01??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@const\sum.m
?????文件???????1657??2012-02-28?21:48??Bayesian?Reasoning?and?Machine?Learning-toolkit\+brml\@GaussianCanonical\GaussianCanonical.m
............此處省略530個文件信息
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