01507nam 2200385 450 00000670120050718115200.00-408-01169-620001219d1983----km-y0itay0103----baengGBFundamentals of engineering geologyF. G. BellLondon, ... [etc.]Butterworthsc1983648 p.ill.24 cm.Geologia624.151(20. ed.)Ingegneria civile. Geologia tecnicaBell,Frederic Gladstone261292ITUniversità della Basilicata - B.I.A.RICAunimarc000006701Fundamentals of engineering geology75995UNIBASMONAGRMONOGRAGRARIATORRE2020001219BAS011515TORRE2020010129BAS01170020050601BAS011753batch0120050718BAS01104920050718BAS01110820050718BAS01113820050718BAS011152BAS01BAS01BOOKBASA2Polo Tecnico-ScientificoDIDDidatticaPTS.s3.p2.445652A456522000121998ConsultazioneBAS01BAS01BOOKBASA2Polo Tecnico-ScientificoDIDDidatticaPTS.s3.p2.4A66874I668742001012904Prestabile DidatticaBAS01BAS01BOOKBASA2Polo Tecnico-ScientificoDIDDidatticaPTS.s3.p2.4B23244I718512001012904Prestabile Didattica03403nam 2200577 a 450 991051420120332120191129132924.01-61058-863-0(CKB)2550000001122700(EBL)3399919(SSID)ssj0000980727(PQKBManifestationID)12487222(PQKBTitleCode)TC0000980727(PQKBWorkID)10958712(PQKB)10958483(MiAaPQ)EBC3399919(EXLCZ)99255000000112270020130426e20131979 uy 0engur|n|---|||||txtccrBomber command[electronic resource] /Max Hastings ; [editors, Erik Gilg and Madeleine Vasaly]Minneapolis, Minn. Zenith Press, an imprint of MBI Pub. Co.20131 online resource (400 p.)Zenith military classicsFirst published in 1979 by Michael Joseph Limited, a division of Penguin Group.0-7603-4520-1 1-299-93558-3 Includes bibliographical references and index.Prologue -- Norfolk and Heligoland bight, 18 December 1939 -- In the beginning, Trenchard: British bomber policy, 1917-40 -- Squadron, Norfolk, 1940-41 -- Squadron, Yorkshire, 1940-41 -- Crisis of confidence, 1941-42 -- The coming of area bombing, 1942 -- Squadron, Lincolnshire, 1942 -- Harris conducts an overture -- Operations -- Protest and policy, 1942-43 -- Dissent -- Casablanca-the airmen victorious -- The tools of darkness -- Squadron, Yorkshire, 1943 -- The Ruhr -- Hamburg -- Courage -- The other side of the hill: Germany 1940-44 -- The destruction -- The defenses -- Bomber Command Headquarters, Buckinghamshire -- Conflict and compromise, 1943-44 -- The battle of Berlin -- The American breakthrough -- Pathfinders: 97 Squadron, Lincolnshire, 1944 -- "A quiet trip all round": Darmstadt, 11/12 September 1944 -- Saturation -- The balance sheet -- Appendix A: Bomber command sorties dispatched and aircraft missing and written off, 1939-45 -- Appendix B: Specifications and performance of the principal aircraft of Bomber Command and Luftwaffe night-fighters, 1939-45 -- Appendix C: -- The target indicator board at Bomber Command HQ, High Wycombe, at the beginning of February 1945 -- Appendix D: Comparison of British and German production of selected armaments, 1940-44 -- Appendix E: Schedule of German cities subjected to area attack by bomber command, 1942-45 -- Appendix F: Comparison of Allied and German aircraft production, 1939-45.World War, 1939-1945Aerial operations, BritishWorld War, 1939-1945Regimental historiesGreat BritainWorld War, 1939-1945Destruction and pillageGermanyGermanyHistory1933-1945Electronic books.World War, 1939-1945Aerial operations, British.World War, 1939-1945Regimental historiesWorld War, 1939-1945Destruction and pillage940.5/44/941Hastings Max1945-519789Gilg Erik1072247Vasaly Madeleine1072248MiAaPQMiAaPQMiAaPQBOOK9910514201203321Bomber command2568555UNINA06856nam 2200733 450 991016328700332120221206093308.01-62705-956-310.2200/S00752ED1V01Y201701ICR055(CKB)3710000001042530(MiAaPQ)EBC4791249(CaBNVSL)swl00407063(OCoLC)970006349(IEEE)7833477(MOCL)201701ICR055(EXLCZ)99371000000104253020170124d2017 fy 0engurcnu||||||||rdacontentrdamediardacarrierFuzzy information retrieval /Donald H. Kraft, Erin Colvin[San Rafael, California] :Morgan & Claypool,2017.1 online resource (83 pages) illustrationsSynthesis lectures on information concepts, retrieval, and services,1947-9468 ;# 55Part of: Synthesis digital library of engineering and computer science.1-62705-952-0 Includes bibliographical references (pages 57-62).1. Introduction to information retrieval -- 1.1 Defining information retrieval -- 1.1.1 Retrieval metric -- 1.2 A bit of IR history -- 1.3 The key notion of relevance -- 1.4 Some interesting applications of information retrieval -- 1.5 Where the fuzz is -- 2. Modeling -- 2.1 Boolean model -- 2.1.1 Deficiencies with Boolean logic -- 2.2 Vector space model -- 2.3 Probability model -- 2.3.1 Language models -- 2.3.2 Alternative probabilistic best match models -- 2.4 Modern concepts of IR -- 2.5 Fuzzy logic and sets -- 2.6 Membership functions -- 2.6.1 Intuition -- 2.6.2 Inference -- 2.6.3 Rank ordering -- 2.6.4 Neural networks -- 2.6.5 Genetic algorithms -- 2.6.6 Inductive reasoning -- 2.6.7 Aggregation -- 2.7 Extended boolean in IR -- 2.8 Fuzzy evaluation metrics -- 2.8.1 Map -- 2.9 Discounted cumulative gain -- 2.10 Summary -- 3. Source of weights -- 3.1 Indexing -- 3.1.1 TF-IDF -- 3.2 Variants -- 3.2.1 Document length normalization -- 3.3 Querying -- 3.4 Summary -- 4. Relevance feedback and query expansion -- 4.1 Defining relevance feedback -- 4.2 Pseudo-relevant feedback -- 4.3 Relevance feedback with the vector space model -- 4.4 Relevance feedback with the probability model -- 4.5 Relevance feedback with the boolean and fuzzy boolean models -- 4.5.1 Genetic algorithms (programming) for Boolean relevance feedback -- 4.6 Query expansion -- 4.6.1 Adding or changing terms -- 4.7 Fuzzy and rough sets for data mining of a controlled vocabulary -- 4.7.1 Fuzzy set notation for rough sets -- 4.8 Extensions of the rough set approach to retrieval -- 4.8.1 Rough fuzzy sets -- 4.8.2 Fuzzy rough sets -- 4.8.3 Generalized fuzzy and rough sets -- 4.8.4 Nonequivalence relationships -- 4.8.5 Combining several relationships simultaneously -- 5. Clustering for retrieval -- 5.1 Introduction -- 5.2 Applications -- 5.3 Clustering algorithms -- 5.4 Similarity measures -- 5.5 Fuzzy clustering -- 5.6 The fuzzy C-means algorithm -- 5.7 A testing example -- 5.7.1 Fuzzy rule discovery -- 6. Uses of information retrieval today -- Bibliography -- Author biographies.Information retrieval used to mean looking through thousands of strings of texts to find words or symbols that matched a user's query. Today, there are many models that help index and search more effectively so retrieval takes a lot less time. Information retrieval (IR) is often seen as a subfield of computer science and shares some modeling, applications, storage applications and techniques, as do other disciplines like artificial intelligence, database management, and parallel computing. This book introduces the topic of IR and how it differs from other computer science disciplines. A discussion of the history of modern IR is briefly presented, and the notation of IR as used in this book is defined. The complex notation of relevance is discussed. Some applications of IR is noted as well since IR has many practical uses today. Using information retrieval with fuzzy logic to search for software terms can help find software components and ultimately help increase the reuse of software. This is just one practical application of IR that is covered in this book. Some of the classical models of IR is presented as a contrast to extending the Boolean model. This includes a brief mention of the source of weights for the various models. In a typical retrieval environment, answers are either yes or no, i.e., on or off. On the other hand, fuzzy logic can bring in a "degree of " match, vs. a crisp, i.e., strict match. This, too, is looked at and explored in much detail, showing how it can be applied to information retrieval. Fuzzy logic is often times considered a soft computing application and this book explores how IR with fuzzy logic and its membership functions as weights can help indexing, querying, and matching. Since fuzzy set theory and logic is explored in IR systems, the explanation of where the fuzz is ensues. The concept of relevance feedback, including pseudorelevance feedback is explored for the various models of IR. For the extended Boolean model, the use of genetic algorithms for relevance feedback is delved into. The concept of query expansion is explored using rough set theory. Various term relationships is modeled and presented, and the model extended for fuzzy retrieval. An example using the UMLS terms is also presented. The model is also extended for term relationships beyond synonyms. Finally, this book looks at clustering, both crisp and fuzzy, to see how that can improve retrieval performance. An example is presented to illustrate the concepts.Synthesis digital library of engineering and computer science.Synthesis lectures on information concepts, retrieval, and services ;# 55.1947-9468Fuzzy systemsInformation retrievalAutomationinformation retrieval system (IRS)recallprecisionrelevanceretrieval status value (RSV)ranking functionbest match models (BM1)relevance feedbackmean average precision (MAP)TF-IDFvector space modelprobabilistic modelBoolean modelFuzzy systems.Information retrievalAutomation.511.322Kraft Donald H.48024Colvin ErinCaBNVSLCaBNVSLCaBNVSLBOOK9910163287003321Fuzzy information retrieval2966842UNINA