%BAYESC?Bayes?classifier??貝葉斯分類器
%		W?=?BAYESC（WAWB?...?PLABLIST）
%?INPUT
%???WA?WB?...?Trained?mappings?for?supplying?class?density?estimates??訓練提供一流的密度估計映射
%???P???????????Vector?with?class?prior?probabilities??與一流的先驗概率
%???????????????Default:?equal?priors?，..默認值：等于先驗.
%???LABLIST????	List?of?class?names?（labels）
%?OUTPUT
%????W??????????Bayes?classifier.的W貝葉斯分類器。
%?DEscriptION說明
%?The?trained?mappings?WAWB?...?should?supply?proper?densities?estimates
%?訓練映射WA，WB，......應提供適當的密度估算
%?D?for?a?dataset?X?by?D?=?X*WA?etcetera.?E.g.?they?should?be?trained?by
%?commands?like?GAUSSM（A）?PARZENM（A）?KNNM（A）.?Consequently?they?should
%?have?a?size?of?K?x?1?（assuming?that?X?and?A?are?K-dimensional）.?Also
%?sizes?of?K?x?N?are?supported?assuming?a?combined?density?estimate?f

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件????????2466??2014-12-01?18:19??bayesc.m
?????文件?????????293??2014-12-01?09:45??handover.m
?????文件?????????952??2014-12-01?10:20??through.m
?????文件??????604570??2010-11-09?21:29??Space-Time?BCS?.pdf