02027nam a2200277 a 4500 vtls000054748 KUKTEM 20251117150442.0 110714t2010 paua f b 001 0 eng d 9781605668109 (hbk.) 9781605668116 (ebook) 201112161235 fauzi 201107141220 sri UMP Q325.5 .N35 2010 Naidenova, Xenia Machine learning methods for commonsense reasoning processes : interactive models / Xenia Naidenova Hershey, PA : Information Science Reference, c2010 xiv, 410 p. : ill. ; 29 cm. Includes bibliographical references (p. 400-401) and index Knowledge in the psychology of thinking and mathematics -- Logic-based reasoning in the framework of artiticial intelligence -- The coordination of commonsense reasoning operations -- The logical rules of commonsense reasoning -- The examples of human connonsense reasoning processes -- Machine learning (ML) as a diagnostic task -- The concept of good classification (diagnostic) test -- The duality of good diagnostic tests -- Towards an integrative model of deductive-inductive commonsense reasoning -- Towards a model of fuzzy commonsense reasoning -- Object-oriented technology for expert system generation -- Case technology for psycho-diagnostic system generation -- Commonsense reasoning in intelligent computer systems "The main purpose of this book is to demonstrate the possibility of transforming a large class of machine learning algorithms into integrated commonsense reasoning processes in which inductive and deductive inferences are not separated one from another but moreover they are correlated and support one another"--Provided by publisher Machine learning Correlation (Statistics) Recursive partitioning 0 0 0 0 10000 10000 2019-09-04 555.58 0 Q325.5 .N35 2010 0000061377 2019-09-04 00:00:00 1 555.58 2019-09-04 OPEN VIRTUA40 58651 58657 VTLSSORT0080*0200*0201*0400*0900*1000*2450*2600*3000*5040*5050*5200*6500*6501*6502*9991