LEADER 01277nam0 2200289 i 450 001 VAN0065766 005 20091214120000.0 010 $a27-06-11112-7 100 $a20081001d2005 |0itac50 ba 101 $afre 102 $aFR 105 $a|||| ||||| 200 1 $aˆLe ‰chemin des mots$epour un apprentissage méthodique du vocabulaire français$fDanièle Dumarest, Marie-Hélène Morsel 210 $aGrenoble$cPresses universitaires de Grenoble$dc2005 215 $a183 p.$cill.$d24 cm. 410 1$1001VAN0065783$12001 $aFrançais Langue étrangère. Maternelle et seconde - Grenoble$ePresses universitaires de Grenoble. 606 $aLingua francese$xmanuali per stranieri$3VANC025344$2FI 620 $dGrenoble$3VANL000634 700 1$aDumarest$bDanièle$3VANV052310$0696691 701 1$aMorsel$bMarie-Hélène$3VANV052311$0687982 712 $aPresses universitaires de Grenoble$3VANV112681$4650 801 $aIT$bSOL$c20230616$gRICA 899 $aBIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$1IT-CE0105$2VAN00 912 $aVAN0065766 950 $aBIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$d00CONS XXIII.Ca.13 $e00BFG124 20081002 996 $aChemin des mots$91377892 997 $aUNICAMPANIA LEADER 02260nam0 22004693i 450 001 VAN00250242 005 20240806101423.253 017 70$2N$a9789811562631 100 $a20220914d2020 |0itac50 ba 101 $aeng 102 $aSG 105 $a|||| ||||| 200 1 $aNonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection$fXuefeng Zhou ... [et al.] 210 $aSingapore$cSpringer$d2020 215 $axv, 137 p.$cill.$d24 cm 500 1$3VAN00250243$aNonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection$92909547 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62F15$xBayesian inference [MSC 2020]$3VANC024528$2MF 606 $a62G05$xNonparametric estimation [MSC 2020]$3VANC029306$2MF 606 $a62H30$xClassification and discrimination; cluster analysis (statistical aspects) [MSC 2020]$3VANC028931$2MF 606 $a62M05$xMarkov processes: estimation; hidden Markov models [MSC 2020]$3VANC024698$2MF 606 $a93-XX$xSystems theory; control [MSC 2020]$3VANC027040$2MF 610 $aAnomaly Monitoring and Diagnosis$9KW:K 610 $aAnomaly Recovery$9KW:K 610 $aCollaborative Robot Introspection$9KW:K 610 $aHidden Markov Model$9KW:K 610 $aHuman-robot Collaboration$9KW:K 610 $aMultimodal Perception$9KW:K 610 $aNonparametric Bayesian Inference$9KW:K 610 $aRobot Autonomous Manipulation$9KW:K 610 $aRobot Safety and Protection$9KW:K 620 $aSG$dSingapore$3VANL000061 702 1$aZhou$bXuefeng$3VANV194981 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20241115$gRICA 856 4 $uhttp://doi.org/10.1007/978-981-15-6263-1$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00250242 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 4982 $e08eMF4982 20220914 996 $aNonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection$92909547 997 $aUNICAMPANIA