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calib.dvi
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2000-ECCV-Malis.pdf13 Mar 2018: KÁ?AIÐOÔR_?A@JI ¿ÛÒõÛ"ø#FS?AI¿ØD4I? AI¿?ÒRS?GD4E)ØJçOF_Fx@4Ñ&RSÙ¿OÔ-D4xOQ_DUDJQ_DJxORSOQ_FCÔ-@JxU¿çR_OMRSÙ¿O,I@JQ_ÁD4EA?GFO%K. ... O#Q_O-U¿Q_OFSO-IZR FRSÙO8xO%D4IO-Q_QS@VQ7Ô@VxU¿çRSO%KÂ@JI õïRSQ_?GD4EGFCò?ÒRSÙ K?Òú -
Incremental on-line adaptation of POMDP-based dialogue managers…
mi.eng.cam.ac.uk/~sjy/papers/gktb14.pdf20 Feb 2018: kA(a,a′) = δa(a. ′), (7). where δa(a′) = 1 iff a = a′, 0 otherwise.4.2. ... The kernelfunction between two sets of actions is. kA(aB,aE) = δaB(a. -
ijcv-cut.dvi
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2004-IJCV-architecture-sfm.pdf13 Mar 2018: áà-ØÙcä)Ü@ÝØàØÙ6ØäÙcÚä_ÙcÚàåfä_ØÞÛÝÜ@ÙcØáâSàÕ'Ü!Kä/WÕcß)Þ ØÙÜ@áà+)ÚÕ_Ø-ØÈáâÙcMÜ@ÙØÙàßÚäØáàÚÚàQâ)ÚáÚ ... áÙcÚ2Öß)ØÖÚß:äcÖ -
POMDP-based dialogue manager adaptation to extended domains M.…
mi.eng.cam.ac.uk/~sjy/papers/gbhk13a.pdf20 Feb 2018: kA(a,a′). For a sequence of belief state-. action pairs Bt = [(b0,a0),. ... For the action space kernel, the δ-kernel is useddefined by:. kA(a,a′) = δa(a. ′). -
bmvc-99.dvi
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1999-BMVC-Chesi.pdf13 Mar 2018: " #$ %&'() , -. /0 12 '34#$ 056 # 7. 8:9<;!=?>@BADCEGF19?H IKJDAL@NMOIKPRQTS-9U;!ADVUW3JLJXI3M. CZYALVGIK[]NAD>PBWQ?A_aP?b3>b3P?>[BAXI:Q?>Jdc MY>VGIK[]N>P1WKeFfPRb3ADP?>>[gADP?bJihj_aPRekW3[glInmADWKP?>1cpo1P?ALqK>[B@gALsrI(QRAutvAD>PGI -
DISTRIBUTED DIALOGUE POLICIES FOR MULTI-DOMAIN STATISTICAL…
mi.eng.cam.ac.uk/~sjy/papers/gkty15.pdf20 Feb 2018: and action spaces kB(b,b′)kA(a,a′). ... kA(a,a′) = δa(a. ′) (5). where δa(a′) = 1 iff a = a′, 0 otherwise. -
DISTRIBUTED DIALOGUE POLICIES FOR MULTI-DOMAIN STATISTICAL…
mi.eng.cam.ac.uk/~sjy/papers/gkty15a.pdf20 Feb 2018: and action spaces kB(b,b′)kA(a,a′). ... kA(a,a′) = δa(a. ′) (5). where δa(a′) = 1 iff a = a′, 0 otherwise. -
POLICY COMMITTEE FOR ADAPTATION IN MULTI-DOMAIN SPOKEN…
mi.eng.cam.ac.uk/~sjy/papers/gmsv15.pdf20 Feb 2018: Q(b,a) GP (0,k((b,a), (b,a))) (2). where the kernel k(, ) is factored into separate kernels overbelief and action spaces kB(b,b′)kA(a,a′). ... kA(a,a′) = δa(a. ′) (7). where δa(a′) = 1 iff a = a′, 0 otherwise. -
POLICY OPTIMISATION OF POMDP-BASED DIALOGUE SYSTEMS WITHOUT…
mi.eng.cam.ac.uk/~sjy/papers/ghtt12.pdf20 Feb 2018: k(b,a,b′,a′) = kB(b,b′)kA(a,a. ′). (3). In addition, if we assume additive noise in the Q-function, Q(b,a) N(0,σ2), the following ... kA(a,a′) = 1 δa(a′) (14). where δa(a′) = 1 iff a = a′.For the full-space systems, the kernel function -
is-05-hvs6_final
mi.eng.cam.ac.uk/~sjy/papers/seyo05.pdf20 Feb 2018: 211. 2121. 1. aannna. annnnn. ka. rd (13). Here nr specifies the number of events that occurred r times and a fixed discounting factor was used if they are zero. -
bmvc-99.dvi
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1999-BMVC-Chesi.pdf13 Mar 2018: " #$ %&'() , -. /0 12 '34#$ 056 # 7. 8:9<;!=?>@BADCEGF19?H IKJDAL@NMOIKPRQTS-9U;!ADVUW3JLJXI3M. CZYALVGIK[]NAD>PBWQ?A_aP?b3>b3P?>[BAXI:Q?>Jdc MY>VGIK[]N>P1WKeFfPRb3ADP?>>[gADP?bJihj_aPRekW3[glInmADWKP?>1cpo1P?ALqK>[B@gALsrI(QRAutvAD>PGI -
����������� ��� ��������������� �� �������� ������ ����� !…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1996-ECCV-Astrom-epipolar.pdf13 Mar 2018: ÃÄ-,90/ªÀ=4"!t4M9sÌ:4ÊtA%&Ì:C=90A'4<UKtæ4A'?&>-,"$+?A'Ê$&,&ÁÆ646A'ûtÀM&ADBAD/QCM#'&/&4<?&>5ÚÌ:Æ6A'ÁÆ8-?&>Á9sÊ0&-UX+,Æ6&/Q"wÉtAD/kÀ=/#%A#!w&#%ADÆM9t9M52&,? ... ÀM+:,&4A'?&-U"w+,A%9<46Ì}&-,&46&&56&58+?9ËE4658UÆM& /A'4MAD/kÀ=/K. -
ON-LINE POLICY OPTIMISATION OF BAYESIAN SPOKEN DIALOGUE SYSTEMS…
mi.eng.cam.ac.uk/~sjy/papers/gbhk13.pdf20 Feb 2018: is factored into separate kernels over thesummary state and action spaces kC(c,c′)kA(a,a′). -
Online_ASRU11.dvi
mi.eng.cam.ac.uk/~sjy/papers/gjty11.pdf20 Feb 2018: function,Q(b, a) GP (0, k((b, a), (b, a))) wherethe kernelk(, ) is factored into separate kernels over thesummary state and action spaceskB(b, b)kA(a, a). -
hierParsing.dvi
mi.eng.cam.ac.uk/~sjy/papers/heyo03a.pdf20 Feb 2018: bbj¢&}M"@"jj}j[&}(¢}M|ªjb}a{(|&}(}M¢¤&Ka"}Xl|&|s¡"&}¡}bj¤&|@b&¤&@}"|&}b|&bj5¢@¤[@¤&}"¤|&| b9}&}M¤@j@b -
����������� �� � ���� �������� ��� �������������� �������…
mi.eng.cam.ac.uk/~cipolla/publications/article/1998-IJCV-quasi-invariants.pdf13 Mar 2018: åãòIë5àóáãçákîïçåQä)ðäÎàAìç éäçà¡áå èùäåá èìèàïAàøAèé áãèâåäÎáQïçáQäòà ë5ãèéèáãèÕèùÒçñáäÎàAìçéäç à¡áøAò¡èåàòálèù¡äåá]'äÎàÒöDò ... èéHøAèéä)ì%çá -
ijcv-cut.dvi
mi.eng.cam.ac.uk/~cipolla/publications/article/2004-IJCV-architecture-sfm.pdf13 Mar 2018: áà-ØÙcä)Ü@ÝØàØÙ6ØäÙcÚä_ÙcÚàåfä_ØÞÛÝÜ@ÙcØáâSàÕ'Ü!Kä/WÕcß)Þ ØÙÜ@áà+)ÚÕ_Ø-ØÈáâÙcMÜ@ÙØÙàßÚäØáàÚÚàQâ)ÚáÚ ... áÙcÚ2Öß)ØÖÚß:äcÖ -
Dialogue manager domain adaptation using Gaussian process…
mi.eng.cam.ac.uk/~sjy/papers/gmrs17.pdf20 Feb 2018: kA(a,a′). For a training sequence of belief state-action pairs B = [(b0,a0),. , ... kA(a,a′) = δa(a. ′) (6). where δa(a′) = 1 iff a = a′, 0 otherwise. -
����������� ��� ��������������� �� �������� ������ ����� !…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1996-ECCV-Astrom-epipolar.pdf13 Mar 2018: ÃÄ-,90/ªÀ=4"!t4M9sÌ:4ÊtA%&Ì:C=90A'4<UKtæ4A'?&>-,"$+?A'Ê$&,&ÁÆ646A'ûtÀM&ADBAD/QCM#'&/&4<?&>5ÚÌ:Æ6A'ÁÆ8-?&>Á9sÊ0&-UX+,Æ6&/Q"wÉtAD/kÀ=/#%A#!w&#%ADÆM9t9M52&,? ... ÀM+:,&4A'?&-U"w+,A%9<46Ì}&-,&46&&56&58+?9ËE4658UÆM& /A'4MAD/kÀ=/K. -
On-line Active Reward Learning for Policy Optimisationin Spoken…
mi.eng.cam.ac.uk/~sjy/papers/sgmb16.pdf20 Feb 2018: Zhang and Chaudhuri2015] Chicheng Zhang and Ka-malika Chaudhuri. 2015. Active learning fromweak and strong labelers.
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