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data/tanveer/conn-bench-vowel-deterding/vowel-context.names

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+
+
+		Introduction
+		============
+
+In my work on context-sensitive learning, I used the "Deterding Vowel
+Recognition Data", but I found it necessary to reformulate the data.
+Implicit in the original data is contextual information on the
+speaker's gender and identity. For my work, it was necessary to make
+this information explicit. The file "vowel-context.data" adds the
+speaker's sex and identity as new features. The format of the data file
+is described below.
+
+
+Peter Turney
+peter@ai.iit.nrc.ca
+
+
+
+		References
+		==========
+
+P. Turney. "Robust Classification With Context-Sensitive Features."
+Proceedings of the Sixth International Conference on Industrial
+and Engineering Applications of Artificial Intelligence and Expert
+Systems (IEA/AIE-93): 268-276. 1993.
+
+URL: ftp://ai.iit.nrc.ca/pub/ksl-papers/NRC-35074.ps.Z
+
+
+P. Turney. "Exploiting Context When Learning to Classify."
+Proceedings of the European Conference on Machine Learning
+(ECML-93): 402-407. 1993.
+
+URL: ftp://ai.iit.nrc.ca/pub/ksl-papers/NRC-35058.ps.Z
+
+
+
+		File Structure
+		==============
+
+
+	Column		Description
+	-------------------------------
+	0		Train or Test
+	1		Speaker Number
+	2		Sex
+	3		Feature 0
+	4		Feature 1
+	5		Feature 2
+	6		Feature 3
+	7		Feature 4
+	8		Feature 5
+	9		Feature 6
+	10		Feature 7
+	11		Feature 8
+	12		Feature 9
+	13		Class
+
+
+
+
+		Numerical Codes
+		===============
+
+
+	Speaker		Code Number
+	---------------------------
+	Andrew		0
+	Bill		1
+	David		2
+	Mark		3
+	Jo		4
+	Kate		5
+	Penny		6
+	Rose		7
+	Mike		8
+	Nick		9
+	Rich		10
+	Tim		11
+	Sarah		12
+	Sue		13
+	Wendy		14
+
+
+
+	Set		Number
+	---------------------------
+	Train		0
+	Test		1
+
+
+
+	Sex		Number
+	---------------------------
+	Male		0
+	Female		1
+
+
+
+	Class		Number
+	---------------------------
+	hid		0
+	hId		1
+	hEd		2
+	hAd		3
+	hYd		4
+	had		5
+	hOd		6
+	hod		7
+	hUd		8
+	hud		9
+	hed		10
+
+
+
+
+
+	Speaker		Code Number	Sex		Train/Test
+	---------------------------------------------------------------
+	Andrew		0		0		0
+	Bill		1		0		0
+	David		2		0		0
+	Mark		3		0		0
+	Jo		4		1		0
+	Kate		5		1		0
+	Penny		6		1		0
+	Rose		7		1		0
+	Mike		8		0		1
+	Nick		9		0		1
+	Rich		10		0		1
+	Tim		11		0		1
+	Sarah		12		1		1
+	Sue		13		1		1
+	Wendy		14		1		1
+