LEADER 01163nam a2200301 i 4500 001 991001955199707536 008 130219s1895 it 00| 0 ita d 035 $ab14097837-39ule_inst 040 $aDip.to Matematica e Fisica - Sez. Matematica$beng 041 1 $aita$hfre 082 04$a512 084 $aAMS 08-01 100 1 $aBertrand, Joseph$0478081 245 10$aTrattato di algebra elementare /$cdi Giuseppe Bertrand ; prima trad. italiana con note ed aggiunte di Enrico Betti 250 $aNuova ed.$bcon aggiunte e modificazioni / per cura di Antonio Socci 260 $aFirenze :$bsuccessori Le Monnier,$c1899 300 $avii, 531 p. ;$c18 cm 500 $aTranslation of: Algèbre 500 $aEx Libris Mario Lombardo 650 0$aAlgebra 700 1 $aBetti, Enrico 700 1 $aSocci, Antonio 907 $a.b14097837$b02-04-14$c19-02-13 912 $a991001955199707536 945 $aLE013 Fondo Lombardo 08-XX BER11 (1899)$g1$i2013000219479$lle013$og$pE10.00$q-$rn$so $t1$u0$v0$w0$x0$y.i15524747$z23-07-13 996 $aTrattato di algebra elementare$9265306 997 $aUNISALENTO 998 $ale013$b19-02-13$cm$da $e-$fita$git $h0$i0 LEADER 01631oam 2200433 450 001 9910704701603321 005 20130827154144.0 035 $a(CKB)5470000002444714 035 $a(OCoLC)857078642 035 $a(OCoLC)995470000002444714 035 $a(EXLCZ)995470000002444714 100 $a20130827d2011 ua 0 101 0 $aeng 135 $aurmn||||a|||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aAERSCREEN user's guide /$fOffice of Air Quality Planning and Standards, Air Quality Assessment Division, Air Quality Modeling Group 210 1$aResearch Triangle Park, N.C. :$cU.S. Environmental Protection Agency,$d2011. 215 $a1 online resource (viii, 87, A-5 pages) $ccolor illustrations 300 $a"March 2011." 300 $aTitle from title screen (viewed on Aug. 27, 2013). 300 $a"EPA-454/B-11-001." 320 $aIncludes bibliographical references (pages 86-87). 327 $a1. Overview of AERSCREEN -- 2. AERSCREEN features -- 3. AERSCREEN Program Execution -- 4. Example Run -- 5. References. 606 $aAir quality$xMathematical models 606 $aAtmospheric diffusion$xMathematical models 606 $aAir$xPollution$xMeasurement 615 0$aAir quality$xMathematical models. 615 0$aAtmospheric diffusion$xMathematical models. 615 0$aAir$xPollution$xMeasurement. 712 02$aUnited States.$bEnvironmental Protection Agency, 801 0$bGPO 801 1$bGPO 801 2$bGPO 906 $aBOOK 912 $a9910704701603321 996 $aAERSCREEN user's guide$93283781 997 $aUNINA LEADER 06898nam 2200613 450 001 9910768452203321 005 20220427140136.0 010 $a3-540-46119-1 024 7 $a10.1007/3-540-46119-1 035 $a(CKB)1000000000211996 035 $a(SSID)ssj0000315781 035 $a(PQKBManifestationID)11215201 035 $a(PQKBTitleCode)TC0000315781 035 $a(PQKBWorkID)10254988 035 $a(PQKB)11589875 035 $a(DE-He213)978-3-540-46119-7 035 $a(MiAaPQ)EBC3062282 035 $a(MiAaPQ)EBC6698861 035 $a(Au-PeEL)EBL6698861 035 $a(PPN)123720737 035 $a(EXLCZ)991000000000211996 100 $a20220427d2002 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aAdvances in case-based reasoning $e6th European conference, ECCBR 2002, Aberdeen, Scotland, UK, September 4-7, 2002, proceedings /$fedited by Susan Craw, Alun Preece 205 $a1st ed. 2002. 210 1$aBerlin, Germany ;$aNew York, New York :$cSpringer,$d[2002] 210 4$d©2002 215 $a1 online resource (XII, 656 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v2416 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-44109-3 320 $aIncludes bibliographical references and index. 327 $aInvited Papers -- Integrating Background Knowledge into Nearest-Neighbor Text Classification -- Applying Knowledge Management: Techniques for Building Organisational Memories -- Research Papers -- On the Complexity of Plan Adaptation by Derivational Analogy in a Universal Classical Planning Framework -- Inductive Learning for Case-Based Diagnosis with Multiple Faults -- Diverse Product Recommendations Using an Expressive Language for Case Retrieval -- Digital Image Similarity for Geo-spatial Knowledge Management -- Poetry Generation in COLIBRI -- Adaptation Using Iterated Estimations -- The Use of a Uniform Declarative Model in 3D Visualisation for Case-Based Reasoning -- Experiments on Case-Based Retrieval of Software Designs -- Exploiting Taxonomic and Causal Relations in Conversational Case Retrieval -- Bayesian Case Reconstruction -- Relations between Customer Requirements, Performance Measures, and General Case Properties for Case Base Maintenance -- Representing Temporal Knowledge for Case-Based Prediction -- Local Predictions for Case-Based Plan Recognition -- Automatically Selecting Strategies for Multi-Case-Base Reasoning -- Diversity-Conscious Retrieval -- Improving Case Representation and Case Base Maintenance in Recommender Agents -- Similarity Assessment for Generalizied Cases by Optimization Methods -- Case Acquisition in a Project Planning Environment -- Improving Case-Based Recommendation -- Efficient Similarity Determination and Case Construction Techniques for Case-Based Reasoning -- Constructive Adaptation -- A Fuzzy Case Retrieval Approach Based on SQL for Implementing Electronic Catalogs -- Integrating Hybrid Rule-Based with Case-Based Reasoning -- Search and Adaptation in a Fuzzy Object Oriented Case Base -- Deleting and Building Sort Out Techniques for Case Base Maintenance -- Entropy-Based vs. Similarity-Influenced: Attribute Selection Methods for Dialogs Tested on Different Electronic Commerce Domains -- Category-Based Filtering and User Stereotype Cases to Reduce the Latency Problem in Recommender Systems -- Defining Similarity Measures: Top-Down vs. Bottom-Up -- Learning to Adapt for Case-Based Design -- An Approach to Aggregating Ensembles of Lazy Learners That Supports Explanation -- An Experimental Study of Increasing Diversity for Case-Based Diagnosis -- Application Papers -- Collaborative Case-Based Recommender Systems -- Tuning Production Processes through a Case Based Reasoning Approach -- An Application of Case-Based Reasoning to the Adaptive Management of Wireless Networks -- A Case-Based Personal Travel Assistant for Elaborating User Requirements and Assessing Offers -- An Automated Hybrid CBR System for Forecasting -- Using CBR for Automation of Software Design Patterns -- A New Approach to Solution Adaptation and Its Application for Design Purposes -- InfoFrax: CBR in Fused Cast Refractory Manufacture -- Comparison-Based Recommendation -- Case-Based Reasoning for Estuarine Model Design -- Similarity Guided Learning of the Case Description and Improvement of the System Performance in an Image Classification System -- ITR: A Case-Based Travel Advisory System -- Supporting Electronic Design Reuse by Integrating Quality-Criteria into CBR-Based IP Selection -- Building a Case-Based Decision Support System for Land Development Control Using Land Use Function Pattern. 330 $aThe papers collected in this volume were presented at the 6th European C- ference on Case-Based Reasoning (ECCBR 2002) held at The Robert Gordon University in Aberdeen, UK. This conference followed a series of very succe- ful well-established biennial European workshops held in Trento, Italy (2000), Dublin, Ireland (1998), Lausanne, Switzerland (1996), and Paris, France (1994), after the initial workshop in Kaiserslautern, Germany (1993). These meetings have a history of attracting ?rst-class European and international researchers and practitioners in the years interleaving with the biennial international co- terpart ICCBR; the 4th ICCBR Conference was held in Vancouver, Canada in 2001. Proceedings of ECCBR and ICCBR conferences are traditionally published by Springer-Verlag in their LNAI series. Case-Based Reasoning (CBR) is an AI problem-solving approach where pr- lems are solved by retrieving and reusing solutions from similar, previously solved problems, and possibly revising the retrieved solution to re?ect di?erences - tween the new and retrieved problems. Case knowledge stores the previously solved problems and is the main knowledge source of a CBR system. A main focus of CBR research is the representation, acquisition and maintenance of case knowledge. Recently other knowledge sources have been recognized as important: indexing, similarity and adaptation knowledge. Signi?cant knowledge engine- ing e?ort may be needed for these, and so the representation, acquisition and maintenance of CBR knowledge more generally have become important. 410 0$aLecture Notes in Artificial Intelligence ;$v2416 606 $aExpert systems (Computer science)$vCongresses 606 $aCase-based reasoning$vCongresses 615 0$aExpert systems (Computer science) 615 0$aCase-based reasoning 676 $a006.33 702 $aPreece$b Alun$f1965- 702 $aCraw$b Susan$f1955- 712 12$aECCBR 2002 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910768452203321 996 $aAdvances in Case-Based Reasoning$9772015 997 $aUNINA