LEADER 04605nam 2200385 450 001 9910412074403321 005 20230819072625.0 035 $a(CKB)5280000000243236 035 $a(NjHacI)995280000000243236 035 $a(EXLCZ)995280000000243236 100 $a20230819d2004 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUAI '04 $eproceedings of the 20th conference on Uncertainty in artificial intelligence /$fChristopher Meek 210 1$aArlington, Virginia :$cAUAI Press,$d2004. 215 $a1 online resource (xii, 645 pages) $cillustrations 225 1 $aACM international conference proceeding series 311 $a0-9749039-0-6 330 $aThis 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. 410 0$aACM international conference proceeding series. 606 $aArtificial intelligence$vCongresses 606 $aUncertainty (Information theory)$vCongresses 615 0$aArtificial intelligence 615 0$aUncertainty (Information theory) 676 $a006.3 700 $aMeek$b Christopher$01422755 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910412074403321 996 $aUAI '04$93548045 997 $aUNINA LEADER 02811nam 2200577 a 450 001 9910785178703321 005 20200520144314.0 010 $a1-61728-172-7 035 $a(CKB)2670000000041806 035 $a(EBL)3019882 035 $a(SSID)ssj0000413699 035 $a(PQKBManifestationID)12147689 035 $a(PQKBTitleCode)TC0000413699 035 $a(PQKBWorkID)10385240 035 $a(PQKB)10194862 035 $a(MiAaPQ)EBC3019882 035 $a(Au-PeEL)EBL3019882 035 $a(CaPaEBR)ebr10674890 035 $a(OCoLC)923662140 035 $a(EXLCZ)992670000000041806 100 $a20090427d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aCell determination during hematopoiesis$b[electronic resource] /$fGeoffrey Brown and Rhodri Ceredig, editors 210 $aNew York $cNova Biomedical Books$dc2009 215 $a1 online resource (348 p.) 225 1 $aCell biology research progress series 300 $aDescription based upon print version of record. 311 $a1-60741-733-2 320 $aIncludes bibliographical references and index. 327 $aGene regulatory networks directing cell fates within the hematopoietic system / Damien Reynaud ... [et al.] -- Lymphoid and myeloid lineage commitment in multipotent hematopoietic progenitors / Motonari Kondo, Thomas F. O'Brien and Anne Y. Lai -- Intracellular signaling for granulocytic and monocytic differentiation / George P. Studzinski and Ewa Marcinkowska -- Dendritic cell development, lineage issues and haematopoiesis at the single cell level / Shalin H. Naik -- The making and breaking of a B lymphocyte / Stephen L. Nutt -- Developmental pathways and molecular regulation of early T cell development in mouse and human / Tom Taghon -- Development of natural killer cell diversity / Christian A.J. Vosshenrich ... [et al.] -- Thymic epithelial cell development and function / Jason W. Gill -- The biology of lymphoid tissue inducer cells / Stephane Chappaz and Daniela Finke -- A pair-wise relationships model of hematopoietic fate determination / Geoffrey Brown ... [et al.] -- The epigenetics of haematopoiesis / Karen Brown. 410 0$aCell biology research progress. 606 $aHematopoiesis$xRegulation 606 $aCell differentiation 606 $aGenetic regulation 615 0$aHematopoiesis$xRegulation. 615 0$aCell differentiation. 615 0$aGenetic regulation. 676 $a612.4/1 701 $aBrown$b Geoffrey$f1963-$01482395 701 $aCeredig$b Rhodri$01482396 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910785178703321 996 $aCell determination during hematopoiesis$93699963 997 $aUNINA