]> BibSonomy publications for /author/Burgess http://www.bibsonomy.org/burst/author/Burgess BibSonomy BuRST Feed for /author/Burgess 2008-07-27T02:23:38+02:00 New Models of Prefix Adder Topologies. dblphttp://www.bibsonomy.org/bibtex/2c305f6bc2756b06e494ae8f8e59f568b/dblp dblp 2008-07-16T00:00:00+02:00 dblp
New Models of Prefix Adder Topologies.
Neil Burgess VLSI Signal Processing 40 125-141 (2005)
to dblp by dblp on 2008-07-16 00:00:00 ]]> VLSI Signal Processing1125-141New Models of Prefix Adder Topologies.402005dblp 2008-07-16 00:00:00.0 Knowledges in action: an actor network analysis of a wetland agri-environment scheme http://www.bibsonomy.org/bibtex/2caf89c426a36ad72c921cc0371cf4e85/snauth snauth 2008-07-13T11:15:48+02:00 imported
Knowledges in action: an actor network analysis of a wetland agri-environment scheme
Jacquelin Burgess and Judy Clark and Carolyn M. Harrison Ecological Economics 35 119-132 (2000)
to imported by snauth on 2008-07-13 11:15:48 ]]> Ecological Economics119-132Knowledges in action: an actor network analysis of a wetland agri-environment scheme352000imported 2008-07-13 11:15:48.0 English Radicalism, 1550-1850 English Radicalism, 1550-1850 -- Harris CXXIII (502): 746 -- The English Historical Reviewhttp://www.bibsonomy.org/bibtex/2f7d96837606f46bdabea96f7761621bc/klinch klinch 2008-07-07T14:44:00+02:00 HIST1300
English Radicalism, 1550-1850
Glenn Burgess and Matthew Festenstein (eds.). (2007)
to HIST1300 by klinch on 2008-07-07 14:44:00 ]]> CambridgeEnglish Radicalism, 1550-18502007HIST1300 2008-07-07 14:44:00.0 Finding Approximate Analytic Solutions To Differential Equations Using Genetic Programming http://www.bibsonomy.org/bibtex/273f1d35a5891214be64b01068c614827/brazovayeye brazovayeye 2008-06-19T17:35:00+02:00 algorithms, differential equations genetic programming,
Finding Approximate Analytic Solutions To Differential Equations Using Genetic Programming
Glenn Burgess (1999)
to algorithms, differential equations genetic programming, by brazovayeye on 2008-06-19 17:35:00 ]]> Salisbury, SA, 5108, AustrliaFebruaryDSTO-TR-0838Finding Approximate Analytic Solutions To Differential Equations Using Genetic ProgrammingTechnical Report1999algorithms, differential equations genetic programming, 2008-06-19 17:35:00.0The computational optimisation technique, genetic programming, is applied to the analytic solution of general differential equations. The approach generates a mathematical expression that is an approximate or exact solution to the particular equation under consideration. The technique is applied to a number of differential equations of increasing complexity in one and two dimensions. Comparative results are given for varying several parameters of the algorithm such as the size of the calculation stack and the variety of available mathematical operators. Several novel approaches gave negative results. Angeline's module acquisition (MA) and Koza's automatically defined functions (ADF) are considered and the results of some modifications are presented. One result of significant theoretical interest is that the syntax-preserving crossover used in Genetic Programming may be generalised to allow the exchange of n-argument functions without adverse effects. The results show that Genetic Programming is an effective technique that can give reasonable results, given plenty of computing resources. The technique used here can be applied to higher dimensions; although in practice the algorithmic complexity may be too high. Can Genetic Programming improve Software Effort Estimation? A Comparative Evaluation http://www.bibsonomy.org/bibtex/2344982548feadba8a6fb5f8d34e75d98/brazovayeye brazovayeye 2008-06-19T17:35:00+02:00 Artificial Intelligence, Learning Machine algorithms, genetic programming,
Can Genetic Programming improve Software Effort Estimation? A Comparative Evaluation
C. J. Burgess and M. Lefley Machine Learning Applications In Software Engineering: Series on Software Engineering and Knowledge Engineering 95--105 (2005)
to Artificial Intelligence, Learning Machine algorithms, genetic programming, by brazovayeye on 2008-06-19 17:35:00 ]]> Machine Learning Applications In Software Engineering: Series on Software Engineering and Knowledge EngineeringMay95--105Can Genetic Programming improve Software Effort Estimation? {A} Comparative Evaluation162005Artificial Intelligence, Learning Machine algorithms, genetic programming, 2008-06-19 17:35:00.0Accurate software effort estimation is an important part of the software process. Originally, estimation was performed using only human expertise, but more recently attention has turned to a variety of machine learning methods. This paper attempts to critically evaluate the potential of genetic programming (GP) in software effort estimation when compared with previously published approaches. The comparison is based on the well-known Desharnais data set of 81 software projects derived from a Canadian software house in the late 1980s. It shows that GP can offer some significant improvements in accuracy and has the potential to be a valid additional tool for software effort estimation. Can genetic programming improve software effort estimation? A comparative evaluation http://www.bibsonomy.org/bibtex/2fa6e9b8246add3b154acd297708a68b5/brazovayeye brazovayeye 2008-06-19T17:35:00+02:00 Case-based Machine Neural Software algorithms, effort estimation genetic learning, networks, programming, reasoning,
Can genetic programming improve software effort estimation? A comparative evaluation
Colin J. Burgess and Martin Lefley Information and Software Technology 43 863--873 (2001)
to Case-based Machine Neural Software algorithms, effort estimation genetic learning, networks, programming, reasoning, by brazovayeye on 2008-06-19 17:35:00 ]]> Information and Software Technology14863--873Can genetic programming improve software effort estimation? {A} comparative evaluation432001Case-based Machine Neural Software algorithms, effort estimation genetic learning, networks, programming, reasoning, 2008-06-19 17:35:00.0Accurate software effort estimation is an important part of the software process. Originally, estimation was performed using only human expertise, but more recently, attention has turned to a variety of machine learning (ML) methods. This paper attempts to evaluate critically the potential of genetic programming (GP) in software effort estimation when compared with previously published approaches, in terms of accuracy and ease of use. The comparison is based on the well-known Desharnais data set of 81 software projects derived from a Canadian software house in the late 1980s. The input variables are restricted to those available from the specification stage and significant effort is put into the GP and all of the other solution strategies to offer a realistic and fair comparison. There is evidence that GP can offer significant improvements in accuracy but this depends on the measure and interpretation of accuracy used. GP has the potential to be a valid additional tool for software effort estimation but set up and running effort is high and interpretation difficult, as it is for any complex meta-heuristic technique. Neuere Ansätze von Strategien kommunaler Wirtschaftspolitik in Großbritannien und Deutschland importedhttp://www.bibsonomy.org/bibtex/28ad54018a7d07d3a0ee173dc87eba0d2/fbw fbw 2008-05-30T16:42:01+02:00 Deutschland Großbritannien Kommunalpolitik Wirtschaftspolitik
Neuere Ansätze von Strategien kommunaler Wirtschaftspolitik in Großbritannien und Deutschland
{Paul} Burgess (1994)
to Deutschland Großbritannien Kommunalpolitik Wirtschaftspolitik by fbw on 2008-05-30 16:42:01 ]]> III, 81, 10 SNeuere Ansätze von Strategien kommunaler Wirtschaftspolitik in Großbritannien und Deutschland1994Deutschland Großbritannien Kommunalpolitik Wirtschaftspolitik 2008-05-30 16:42:01.0 Labour demand, quantity constraints or matching : The determination of employment in the absence of market-clearing http://www.bibsonomy.org/bibtex/2a6ebb62e9b6bd7d543c7e4d2dd274b2c/smicha smicha 2008-04-28T13:05:01+02:00 imported
Labour demand, quantity constraints or matching : The determination of employment in the absence of market-clearing
Simon M. Burgess European Economic Review 37 1295--1314 (1993)
to imported by smicha on 2008-04-28 13:05:01 ]]> European Economic ReviewOct71295--1314Labour demand, quantity constraints or matching : The determination of employment in the absence of market-clearing371993imported 2008-04-28 13:05:01.0 Matching models and labour market flows http://www.bibsonomy.org/bibtex/260163eb34ab86ca9365f754eb261074f/smicha smicha 2008-04-28T13:05:01+02:00 Matching
Matching models and labour market flows
Simon M. Burgess European Economic Review 38 809--816 (1994)
to Matching by smicha on 2008-04-28 13:05:01 ]]> European Economic ReviewApr3-4809--816Matching models and labour market flows381994Matching 2008-04-28 13:05:01.0 Political agency, government responsiveness and the role of the media http://www.bibsonomy.org/bibtex/2abce4c40b569bbf76ff1dd6b351208c1/smicha smicha 2008-04-28T13:05:01+02:00 Mass media
Political agency, government responsiveness and the role of the media
Timothy Besley and Robin Burgess European Economic Review 45 629--640 (2001)
to Mass media by smicha on 2008-04-28 13:05:01 ]]> European Economic ReviewMay4-6629--640Political agency, government responsiveness and the role of the media452001Mass media 2008-04-28 13:05:01.0