@article{hay91, title = {Untitled}, annote = {?}, author = {S. M. Hayden and G. Aeppli and R. Osborn and A. D. Taylor and T. G. Perring and S. W. Cheong and Z. Fisk}, journal = {Phys. Rev. Lett.}, pages = {3622}, volume = {67}, year = {1991}, biburl = {http://www.bibsonomy.org/bibtex/2c8e2525c286b4f29cde935b318ec2368/jgl}, posted-at = {2008-04-22 13:44:41}, priority = {2}, citeulike-article-id = {2701833}, comment = {?}, keywords = {experiment, high-tc, htsce } } @inproceedings{wang:2005:UKCI, title = {Induction of Decision Trees Using Genetic Programming for the Development of {SAR} Toxicity Models}, address = {London}, author = {Xue Zhong Wang and Frances V. Buontempo and Mulaisho Mwense and Anita Young and Daniel Osborn}, booktitle = {The 5th annual UK Workshop on Computational Intelligence}, editor = {Boris Mirkin and George Magoulas}, month = {5-7 September}, pages = {169--175}, year = {2005}, biburl = {http://www.bibsonomy.org/bibtex/201c32d019792ce9c28b39590a3b2cc0e/brazovayeye}, notes = {UKCI 2005 http://www.dcs.bbk.ac.uk/ukci05/ vibrio fischeri -- 75 compounds LC50 1093 descriptors cholorella vulgaris -- EC50 80 organic compounds}, keywords = {QSAR algorithms, genetic programming, } } @inproceedings{osborn:1995:glp, title = {Genetic Logic Programming}, address = {Perth, Australia}, author = {Thomas R. Osborn and Adib Charif and Ricardo Lamas and Eugene Dubossarsky}, booktitle = {1995 IEEE Conference on Evolutionary Computation}, month = {29 November - 1 December}, pages = {728}, publisher = {IEEE Press}, url = {http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/glpfinal.ps.gz}, volume = {2}, year = {1995}, biburl = {http://www.bibsonomy.org/bibtex/297ac5b65394c22c168bf0e11e423c15f/brazovayeye}, abstract = { Genetic Logic Programming (GLP) is a new method which applies the Genetic Algorithms paradigm to Declarative Programming - specifically to evolve populations of Prolog programs. This talk examines GLP applied to Natural Language Understanding to illustrate the power, issues and limitations of GLP. Populations of Prolog query interpreters evolve to respond more correctly to queries about the Aesop fable: {"}The Fox and the Crow{"}. The interpreters process parsed text and consult a general knowledge-base. The gene pool consists of a large set of Prolog rules and facts which are tentatively proposed as being 'useful' for interpretation. Essentially, interpreters act as an interface between queries, knowledge bases and the text. Closure and termination are addressed at the level of design of the gene pool, and various Prolog options. Fitness amounts to a score on a high school like {"}comprehension test{"}, with special care to deal with redundant and dependent answers, and with an eye to rewarding correct higher-level abstractions. glpfinal.ps.gz 3 July 2002 Here is the final version of the paper. The corrections are minor but the formating is much better.}, publisher_address = {Piscataway, NJ, USA}, size = {5 pages}, notes = {ICEC-95 Editors not given by IEEE, Organisers David Fogel and Chris deSilva. conference details at http://ciips.ee.uwa.edu.au/~dorota/icnn95.html Posting by Tom to GP list Thu, 01 Feb 1996 13:50:40 +1100 The gist was applying evolutionary methods to (Prolog) Logic Programs, which were applied to NLU. There are several subtlties which are covered in the paper - notions of fitness in terms of measured program correctness, the evolving thing was an interface between (parsed) text and lexicons and knowledge-base(s), genes were 'hooks' into the KB (either a rule or several, ...), and termination and closure were tricky. }, keywords = {algorithms, genetic programming, prolog } } @article{buontempo:2005:CIM, title = {Genetic Programming for the Induction of Decision Trees to Model Ecotoxicity Data}, author = {Frances V. Buontempo and Xue Zhong Wang and Mulaisho Mwense and Nigel Horan and Anita Young and Daniel Osborn}, journal = {Journal of Chemical Information and Modeling}, note = {ASAP article. Web Release Date: May 12, 2005}, volume = {45}, year = {2005}, biburl = {http://www.bibsonomy.org/bibtex/28664160bf99dc312dda4b5f451693182/brazovayeye}, abstract = {Automatic induction of decision trees and production rules from data to develop structure-activity models for toxicity prediction has recently received much attention, and the majority of methodologies reported in the literature are based upon recursive partitioning employing greedy searches to choose the best splitting attribute and value at each node. These approaches can be successful; however, the greedy search will necessarily miss regions of the search space. Recent literature has demonstrated the applicability of genetic programming to decision tree induction to overcome this problem. This paper presents a variant of this novel approach, using fewer mutation options and a simpler fitness function, demonstrating its utility in inducing decision trees for ecotoxicity data, via a case study of two data sets giving improved accuracy and generalization ability over a popular decision tree inducer.}, notes = { http://pubs.acs.org/journals/jcisd8/index.html S1549-9596(04)09652-4 ACS Publications Division cites EPtree \cite{delisle:2004:CIM} y-scrambling. at least 10\% data coverage required of decision trees. Tournament size 16. No parsimony fitness preassure. Trees regrown. Lots of mutation if pop stagnated. Elitist but gives no improvement. -Log(LC50) vibrio fischeri. 1093 features. 60 training compounds. 100 generation. Pop 600. 1 second per generation. Department of Chemical Engineering and School of Civil Engineering, University of Leeds, Leeds LS2 9JT, U.K., AstraZeneca UK Ltd., Brixham Environmental Laboratory, Freshwater Quarry, Brixham, Devon TQ5 8BA, U.K., and Centre of Ecology and Hydrology, Monks Wood, Huntingdon PE28 2LS, U.K.}, doi = {doi:10.1021/ci049652n}, size = {9 pages}, keywords = {8.0, C5.0 EPTree, QSAR S-Plus, SIMCA-P See5, algorithms, decision ecotoxicity, genetic model partitioning, programming, recursive trees, } } @inproceedings{conf/isbi/OngSO08, title = {Polyp detection in CT colonography based on shape characteristics and Kullback-Leibler divergence.}, author = {Ju Lynn Ong and Abd-Krim Seghouane and Kevin Osborn}, booktitle = {ISBI}, crossref = {conf/isbi/2008}, pages = {636-639}, publisher = {IEEE}, url = {http://dblp.uni-trier.de/db/conf/isbi/isbi2008.html#OngSO08}, year = {2008}, biburl = {http://www.bibsonomy.org/bibtex/2a85016e1dfbe782d0d5e7cc43e7bd19b/dblp}, description = {dblp}, ee = {http://dx.doi.org/10.1109/ISBI.2008.4541076}, date = {2008-06-18}, keywords = {dblp } } @article{Sutherland0, title = {Future novel threats and opportunities facing UK biodiversity identified by horizon scanning}, author = {William J. Sutherland and Mark J. Bailey and Ian P. Bainbridge and Tom Brereton and Jaimie T. A. Dick and Joanna Drewitt and Nicholas K. Dulvy and Nicholas R. Dusic and Robert P. Freckleton and Kevin J. Gaston and Pam M. Gilder and Rhys E. Green and A. Louise Heathwaite and Sally M. Johnson and David W. Macdonald and Roger Mitchell and Daniel Osborn and Roger P. Owen and Jules Pretty and Stephanie V. Prior and Havard Prosser and Andrew S. Pullin and Paul Rose and Andrew Stott and Tom Tew and Chris D. Thomas and Des B. A. Thompson and Juliet A. Vickery and Matt Walker and Clive Walmsley and Stuart Warrington and Andrew R. Watkinson and Rich J. Williams and Rosie Woodroffe and Harry J. Woodroof}, journal = {Journal of Applied Ecology}, number = {0}, pages = {???-???}, url = {http://www.blackwell-synergy.com/doi/abs/10.1111/j.1365-2664.2008.01474.x}, volume = {0}, year = {2008}, biburl = {http://www.bibsonomy.org/bibtex/2500af97482f4182127c0ff8518e445c4/karinnadrowski}, abstract = { Summary 1. Horizon scanning is an essential tool for environmental scientists if they are to contribute to the evidence base for Government, its agencies and other decision makers to devise and implement environmental policies. The implication of not foreseeing issues that are foreseeable is illustrated by the contentious responses to genetically modified herbicide-tolerant crops in the UK, and by challenges surrounding biofuels, foot and mouth disease, avian influenza and climate change. 2. A total of 35 representatives from organizations involved in environmental policy, academia, scientific journalism and horizon scanning were asked to use wide consultation to identify the future novel or step changes in threats to, and opportunities for, biodiversity that might arise in the UK up to 2050, but that had not been important in the recent past. At least 452 people were consulted. 3. Cases for 195 submitted issues were distributed to all participants for comments and additions. All issues were scored (probability, hazard, novelty and overall score) prior to a 2-day workshop. Shortlisting to 41 issues and then the final 25 issues, together with refinement of these issues, took place at the workshop during another two rounds of discussion and scoring. 4. We provide summaries of the 25 shortlisted issues and outline the research needs. 5. We suggest that horizon scanning incorporating wide consultation with providers and users of environmental science is used by environmental policy makers and researchers. This can be used to identify gaps in knowledge and policy, and to identify future key issues for biodiversity, including those arising from outside the domains of ecology and biodiversity. 6. Synthesis and applications. Horizon scanning can be used by environmental policy makers and researchers to identify gaps in knowledge and policy. Drawing on the experience, expertise and research of policy advisors, academics and journalists, this exercise helps set the agenda for policy, practice and research. }, timestamp = {2008.04.26}, file = {Sutherland0.pdf:Sutherland0.pdf:PDF}, owner = {kej}, numlit = {00270}, doi = {10.1111/j.1365-2664.2008.01474.x}, eprint = {http://www.blackwell-synergy.com/doi/pdf/10.1111/j.1365-2664.2008.01474.x}, keywords = {Sutherland biodiversity horizon_scanning } } @book{schermerhorn1998, title = {Basic organizational behavior}, address = {Wiley}, annote = {XVII, 347 S}, author = {{John R.} Schermerhorn and {James G.} Hunt*1932-* and {Richard N.} Osborn}, edition = {2. ed}, howpublished = {New York, NY [u.a.]}, url = {http://gso.gbv.de/DB=2.1/CMD?ACT=SRCHA&SRT=YOP&IKT=1016&TRM=ppn+229899862&sourceid=fbw_bibsonomy}, year = {1998}, biburl = {http://www.bibsonomy.org/bibtex/29643e0a31848e70cf0eeda4ef30c58ce/fbw}, description = {imported}, isbn = {0-471-19026-8}, keywords = {imported } } @book{ghysels2001, title = {The econometric analysis of seasonal time series}, address = {Cambridge Univ. Press}, annote = {XXI, 228 S}, author = {{Eric} Ghysels and {Denise R.} Osborn}, howpublished = {Cambridge [u.a.]}, url = {http://gso.gbv.de/DB=2.1/CMD?ACT=SRCHA&SRT=YOP&IKT=1016&TRM=ppn+328157449&sourceid=fbw_bibsonomy}, year = {2001}, biburl = {http://www.bibsonomy.org/bibtex/2228962489ab2c5ffad93e3267187e8da/fbw}, description = {imported}, isbn = {0-521-56260-0}, keywords = {Saisonale_Komponente Zeitreihenanalyse Ökonometrie } } @inproceedings{conf/c3s2e/MoreauO08, title = {Revisiting 2DR-tree insertion.}, author = {Marc Moreau and Wendy Osborn}, booktitle = {C3S2E}, crossref = {conf/c3s2e/2008}, editor = {Bipin C. Desai}, pages = {129-131}, publisher = {ACM}, series = {ACM International Conference Proceeding Series}, url = {http://dblp.uni-trier.de/db/conf/c3s2e/c3s2e2008.html#MoreauO08}, volume = {290}, year = {2008}, biburl = {http://www.bibsonomy.org/bibtex/2f904955d84f658cbff5c1e4ab7348237/dblp}, description = {dblp}, date = {2008-05-13}, ee = {http://doi.acm.org/10.1145/1370256.1370277}, isbn = {978-1-60558-101-9}, keywords = {dblp } } @incollection{malone03handbook, title = {Tools for Inventing Organizations: Toward a Handbook of Organizational Processes}, author = {Thomas W. Malone and Kevin Crowston and Jintae Lee and Brian T. Pentland and Chrysanthos Dellarocas and George M. Wyner and John Quimby and Abraham Bernstein and George A. Herman and Mark Klein and Charles S. Osborn and Elisa O'Donnell}, booktitle = {Organizing Business Knowledge. The MIT Process Handbook}, editor = {Thomas W. Malone and Kevin Crowston and George A. Herman}, publisher = {MIT Press}, url = {http://mitpress.mit.edu/books/chapters/0262134292chap1.pdf}, year = {2003}, biburl = {http://www.bibsonomy.org/bibtex/2a312ddca91521d5d3da8744e16998da0/msn}, keywords = {cites.pclass cites.procm research.bizInt.bpm } }