02559nam 2200625 a 450 991045377290332120200520144314.01-281-96456-597866119645661-84813-354-5(CKB)1000000000579592(EBL)380896(OCoLC)476210690(SSID)ssj0000122618(PQKBManifestationID)11143261(PQKBTitleCode)TC0000122618(PQKBWorkID)10124234(PQKB)11404779(MiAaPQ)EBC380896(Au-PeEL)EBL380896(CaPaEBR)ebr10264168(CaONFJC)MIL196456(OCoLC)437241616(EXLCZ)99100000000057959220080226d2008 uy 0engur|n|---|||||txtccrCity futures[electronic resource] confronting the crisis of urban development /Edgar PieterseLondon ;New York Zed Books ;Capetown, South Africa UCT Pressc20081 online resource (217 p.)Global Issues SeriesDescription based upon print version of record.1-84277-541-3 1-84277-540-5 Includes bibliographical references (p. [177]-199) and index.Introduction : deciphering city futures -- Urbanization trends and implications -- Mainstream agenda I : shelter for all -- Mainstream agenda II : good governance -- Reconceptualising the political in cities -- Informal everyday urbanism -- Counterpoint : alternative urban development -- Making a start towards alternative city futures.The 'mega-cities' of the developing world are home to over 10 million people each and even smaller cities are experiencing unprecedented population surges. The problems surrounding this influx of people - slums, poverty, unemployment and lack of governance - have been well-documented. This book is a powerful indictment of the current consensus on how to deal with these challenges.Global Issues SeriesUrbanizationCities and townsGrowthElectronic books.Urbanization.Cities and townsGrowth.307.76Pieterse E. A(Edgar A.)305962MiAaPQMiAaPQMiAaPQBOOK9910453772903321City futures2007408UNINA04605nam 2200385 450 991041207440332120230819072625.0(CKB)5280000000243236(NjHacI)995280000000243236(EXLCZ)99528000000024323620230819d2004 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierUAI '04 proceedings of the 20th conference on Uncertainty in artificial intelligence /Christopher MeekArlington, Virginia :AUAI Press,2004.1 online resource (xii, 645 pages) illustrationsACM international conference proceeding series0-9749039-0-6 This year marks the 20th anniversary of the Conference of Uncertainty in Artificial Intelligence (UAI). From its beginnings as a small workshop, UAI has grown to become the leading conference in the field. It is now the primary international forum for presenting new results on the use of principled methods for reasoning under uncertainty within intelligent systems. The scope of UAI is wide, including, but not limited to, representation, automated reasoning, learning, decision making, and knowledge acquisition under uncertainty. This year's conference (UAI 2004) continues the tradition, including contributions that report on advances in these core areas, as well as insights derived from the construction and use of applications involving uncertain reasoning. This volume comprises the papers accepted for presentation at UAI 2004, held at the Banff Park Inn in Banff, Canada, from July 7 through 11, 2004. Papers appearing in this volume were subjected to rigorous review; three Program Committee members (or in some cases, auxiliary reviewers) reviewed each paper under the supervision of an Area Chair, who made recommendations to the Program Chairs. The assignment of Program Committee members to papers was based on their expertise and expressed interests in the papers, with an eye toward coverage of the relevant aspects of each paper. This year a record 253 papers were submitted to UAI, and 76 papers were accepted for plenary or poster presentation at the conference. All accepted papers appear in this volume. We are confident that the proceedings, like past UAI Conference Proceedings, will become an important archival reference for the field. Based on the recommendation of the program committee, we selected one paper for the recipient of the Best Paper Award and one as the recipient of the Best Student Paper Award. These awards were given for outstanding technical contributions. We are pleased to present the UAI 2004 Best Paper Award to David McAllester, Michael Collins, and Fernando Pereira for their paper The Case-Factor Complexity of Markov Random Fields and the 2004 Best Student Paper Award to Mathias Drton and Thomas Richardson for their paper Iterative Conditional Fitting for Gaussian Ancestral Graph Models. The runners-up for the Best Student Paper Award were Gal Elidan, Iftach Nachman, and Nir Friedman for their paper "Ideal Parent" Structure Learning for Continuous Variable Networks. In addition to the presentation of technical papers, we were very pleased to have five distinguished invited speakers: Ed George (University of Pennsylvania), Jon Kleinberg (Cornell University), Lillian Lee (Cornell University), Alon Orlitsky (University of California at San Diego), and Moshe Y. Vardi (Rice University). UAI 2004 also continued the tradition of offering a full-day course on Advanced Topics in Uncertainty in Artificial Intelligence consisting of tutorials by Ronen Brafman (Ben-Gurion University), Rina Dechter (University of California at Irvine), Nir Friedman (Hebrew University), and Martin Wainwright (University of California at Berkeley). The set of papers, invited talks, and full-day course topics illustrate both the depth and breadth of UAI techniques and applications. We are proud of the quality of this year's conference, and are looking forward to continued contributions and growth in the future.ACM international conference proceeding series.Artificial intelligenceCongressesUncertainty (Information theory)CongressesArtificial intelligenceUncertainty (Information theory)006.3Meek Christopher1422755NjHacINjHaclBOOK9910412074403321UAI '043548045UNINA