LEADER 02333nam 2200397 450 001 9910704589503321 005 20130828100749.0 035 $a(CKB)5470000002441806 035 $a(OCoLC)837352322 035 $a(EXLCZ)995470000002441806 100 $a20130409d2013 ua 0 101 0 $aeng 135 $aurbn||||a|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDiscussion draft to provide funding for the construction and maintenance of a nationwide, interoperable public safety broadband network and for other purposes and on H.R. 4829, the Next Generation 911 Preservation Act of 2010 $ehearing before the Subcommittee on Communications, Technology, and the Internet of the Committee on Energy and Commerce, House of Representatives, One Hundred Eleventh Congress, second session, June 17, 2010 210 1$aWashington :$cU.S. Government Printing Office,$d2013. 215 $a1 online resource (vi, 222 pages) $cillustrations 300 $aTitle from title screen (viewed Apr. 9, 2013). 300 $aPaper version available for sale by the Superintendent of Documents, U.S. Government Printing Office. 300 $a"Serial no. 111-138." 320 $aIncludes bibliographical references. 517 $aDiscussion draft to provide funding for the construction and maintenance of a nationwide, interoperable public safety broadband network and for other purposes and on H.R. 4829, the Next Generation 911 Preservation Act of 2010 606 $aEmergency communication systems$xLaw and legislation$zUnited States 606 $aBroadband communication systems$xLaw and legislation$zUnited States 606 $aTelephone$xEmergency reporting systems$xLaw and legislation$zUnited States 615 0$aEmergency communication systems$xLaw and legislation 615 0$aBroadband communication systems$xLaw and legislation 615 0$aTelephone$xEmergency reporting systems$xLaw and legislation 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910704589503321 996 $aDiscussion draft to provide funding for the construction and maintenance of a nationwide, interoperable public safety broadband network and for other purposes and on H.R. 4829, the Next Generation 911 Preservation Act of 2010$93477333 997 $aUNINA LEADER 03330nam 2200517 450 001 996574257803316 005 20240119114110.0 010 $a3-031-49299-4 024 7 $a10.1007/978-3-031-49299-0 035 $a(CKB)29449395500041 035 $a(DE-He213)978-3-031-49299-0 035 $a(MiAaPQ)EBC31051274 035 $a(Au-PeEL)EBL31051274 035 $a(EXLCZ)9929449395500041 100 $a20240119d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aInductive Logic Programming $e32nd International Conference, ILP 2023, Bari, Italy, November 13-15, 2023, Proceedings /$fElena Bellodi, Francesca Alessandra Lisi, and Riccardo Zese, editors 205 $aFirst edition. 210 1$aCham, Switzerland :$cSpringer,$d[2023] 210 4$dİ2023 215 $a1 online resource (XVIII, 175 p. 40 illus., 35 illus. in color.) 225 1 $aLecture Notes in Computer Science Series ;$vVolume 14363 311 08$a9783031492983 320 $aIncludes bibliographical references and index. 327 $aDeclarative Sequential Pattern Mining in ASP -- Extracting Rules from ML models in Angluin?s Style -- A Constrained Optimization Approach to Set the Parameters of Probabilistic Answer Set Programs -- Regularization in Probabilistic Inductive Logic Programming -- Towards ILP-based LTLf passive learning -- Learning Strategies of Inductive Logic Programming Using Reinforcement Learning -- Select first, transfer later: choosing proper datasets for statistical relational transfer learning -- GNN based Extraction of Minimal Unsatisfiable Subsets -- What Do Counterfactuals Say about the World? Reconstructing Probabilistic Logic Programs from Answers to ?What if?? Queries -- Few-shot learning of diagnostic rules for neurodegenerative diseases using Inductive Logic Programming -- An Experimental Overview of Neural-Symbolic Systems -- Statistical relational structure learning with scaled weight parameters -- A Review of Inductive Logic Programming Applications for Robotic Systems -- Meta Interpretive Learning from Fractal images. 330 $aThis book constitutes the refereed proceedings of the 32nd International Conference on Inductive Logic Programming, ILP 2023, held in Bari, Italy, during November 13?15, 2023. The 11 full papers and 1 short paper included in this book were carefully reviewed and selected from 18 submissions. They cover all aspects of learning in logic, multi-relational data mining, statistical relational learning, graph and tree mining, learning in other (non-propositional) logic-based knowledge representation frameworks, exploring intersections to statistical learning and other probabilistic approaches. 410 0$aLecture notes in computer science ;$vVolume 14363. 606 $aLogic programming$vCongresses 606 $aMachine learning$vCongresses 615 0$aLogic programming 615 0$aMachine learning 676 $a005.115 702 $aBellodi$b Elena 702 $aLisi$b Francesca Alessandra 702 $aZese$b Riccardo 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996574257803316 996 $aInductive Logic Programming$92804417 997 $aUNISA