21.12 Remove Punctuation
## hybrid weighted random forests for
## classifying very highdimensional data
## baoxun xu joshua zhexue huang graham williams and
## yunming ye
##
##
## department of computer science harbin institute of technology shenzhen graduate
## school shenzhen china
##
## shenzhen institutes of advanced technology chinese academy of sciences shenzhen
## china
## email amusing gmailcom
## random forests are a popular classification method based on an ensemble of a
## single type of decision trees from subspaces of data in the literature there
## are many different types of decision tree algorithms including c cart and
## chaid each type of decision tree algorithm may capture different information
## and structure this paper proposes a hybrid weighted random forest algorithm
## simultaneously using a feature weighting method and a hybrid forest method to
## classify very high dimensional data the hybrid weighted random forest algorithm
## can effectively reduce subspace size and improve classification performance
## without increasing the error bound we conduct a series of experiments on eight
## high dimensional datasets to compare our method with traditional random forest
## methods and other classification methods the results show that our method
## consistently outperforms these traditional methods
## keywords random forests hybrid weighted random forest classification decision tree
##
....Punctuation can provide gramatical context which supports understanding. Often for initial analyses we ignore the punctuation. Later we will use punctuation to support the extraction of meaning.
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