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Untangling neural nets (Record no. 13259)

000 -LEADER
fixed length control field 01522naa a2200169uu 4500
001 - CONTROL NUMBER
control field 5061511361310
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190211160004.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 050615s2005 xx ||||gr |0|| 0 eng d
999 ## - SYSTEM CONTROL NUMBERS (KOHA)
Koha Dewey Subclass [OBSOLETE] PHL2MARC21 1.1
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name DE MARCHI, Scott; GELPI, Christopher; GRYNAVISKI, Jeffrey D
9 (RLIN) 21370
245 10 - TITLE STATEMENT
Title Untangling neural nets
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York :
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. May 2004
520 3# - SUMMARY, ETC.
Summary, etc. Beck, King, and Zeng (2000) offer both a sweeping critique of the quantitative security studies field and a bold new direction for future research. Despite important strengths in their work, we take issue with three aspects of their research: (1) the substance of the logit model they compare to their neural network, (2) the standards they use for for assessing forecasts, and (3) the theoretical and model-building implications of the nonparametric approach represented by neural networks. We replicate and extend their analysis by estimating a more comoplete logit model and comparing it both to a neural network and to a linear discriminant analysis. our work reveals that neural networks do not perform substantially better than either the logit or the linear discriminant estimators. Given this result, we argue that more traditional approaches should be relied upon due to their enhanced ability to test hypotheses.
773 08 - HOST ITEM ENTRY
Title American Political Science Review
Related parts 98, 2, p. 371-378
Place, publisher, and date of publication New York : Cambridge University Press, May 2004
International Standard Serial Number ISSN 0003-0554
Record control number
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Periódico
998 ## - LOCAL CONTROL INFORMATION (RLIN)
-- 20050615
Operator's initials, OID (RLIN) 1136^b
Cataloger's initials, CIN (RLIN) Tiago

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